技术领域technical field
本发明涉及人工智能技术技术领域，尤其涉及一种脑卒中筛查方法、装置、存储介质及设备。The invention relates to the technical field of artificial intelligence technology, and in particular, to a stroke screening method, device, storage medium and device.
背景技术Background technique
急性缺血性脑血管疾病，俗称缺血性脑卒中，具有“高死亡率、高致残率、高发病率、高花费”的疾病，是全世界范围亟待解决的问题。短暂性脑缺血发作(transientischemic attack,TIA)的患者7d(7个自然日)的脑卒中风险为4-10％，90d为10-20％；轻卒中90d(90个自然日)的卒中复发风险为18％，并且TIA死亡率高达12％；目前急性缺血性脑血管疾病具有年轻化的趋势，未来数十年的急性缺血性脑血管疾病的发病率将迎来高峰。而急性缺血性脑血管疾病的治疗关键就是采用最有效的方法提高病人的预后，促进神经功能恢复，减少致残率。中国成年人血脂异常患病率18.6％，但是成人血脂异常知晓率、治疗率和控制率处于较低水，导致错过干预最佳时期。因此，快捷有效的进行脑卒中筛查显得尤为重要。Acute ischemic cerebrovascular disease, commonly known as ischemic stroke, is a disease with "high mortality, high disability, high morbidity, and high cost", and is an urgent problem to be solved worldwide. For patients with transient ischemic attack (TIA), the risk of stroke is 4-10% for 7 days (7 natural days) and 10-20% for 90 days; the stroke recurrence rate for mild stroke is 90 days (90 natural days) The risk is 18%, and the mortality rate of TIA is as high as 12%; the current acute ischemic cerebrovascular disease has a younger trend, and the incidence of acute ischemic cerebrovascular disease will usher in a peak in the next few decades. The key to the treatment of acute ischemic cerebrovascular disease is to use the most effective method to improve the patient's prognosis, promote the recovery of neurological function, and reduce the disability rate. The prevalence of dyslipidemia in Chinese adults is 18.6%, but the awareness, treatment and control rates of dyslipidemia in adults are at a low level, which leads to missing the best period of intervention. Therefore, quick and effective stroke screening is particularly important.
发明内容SUMMARY OF THE INVENTION
基于此，有必要针对上述问题，提出了一种脑卒中筛查方法、装置、存储介质及设备。Based on this, it is necessary to propose a stroke screening method, device, storage medium and device for the above problems.
第一方面，本发明提出了一种脑卒中筛查方法，所述方法包括：In a first aspect, the present invention provides a stroke screening method, the method comprising:
获取病历档案，所述病历档案包括患者基本信息、病历数据，所述患者基本信息包括患者标识、患者个人信息、生活习惯数据；Obtain a medical record file, where the medical record file includes basic patient information and medical record data, and the basic patient information includes patient identification, patient personal information, and living habit data;
根据所述病历档案进行预处理，得到预处理数据集，所述预处理数据集包括影响脑卒中发病的影响因素及影响因素实际值；Perform preprocessing according to the medical record file to obtain a preprocessing data set, where the preprocessing data set includes influencing factors affecting the onset of stroke and actual values of the influencing factors;
获取影响因素候选值与风险数值之间的对应关系；Obtain the corresponding relationship between the candidate value of the influencing factor and the risk value;
根据所述预处理数据集、所述影响因素候选值与风险数值之间的对应关系得到每个所述影响因素实际值对应的因素风险值；Obtain the factor risk value corresponding to the actual value of each of the influencing factors according to the corresponding relationship between the preprocessing data set, the candidate value of the influencing factor and the risk value;
根据所有所述影响因素实际值对应的因素风险值进行计算，得到发病风险值；According to the factor risk value corresponding to the actual value of all the influencing factors, the risk value of the disease is obtained;
根据所述发病风险值得到与所述预处理数据集对应的脑卒中发病风险率。The stroke incidence risk rate corresponding to the preprocessing data set is obtained according to the incidence risk value.
第二方面，本发明还提出了一种脑卒中筛查装置，所述装置包括：In a second aspect, the present invention also provides a stroke screening device, the device comprising:
病历档案模块，用于记录病历档案；The medical record file module is used to record the medical record file;
预处理模块，用于获取病历档案，所述病历档案包括患者基本信息、病历数据，所述患者基本信息包括患者标识、患者个人信息、生活习惯数据，根据所述病历档案进行预处理，得到预处理数据集，所述预处理数据集包括影响脑卒中发病的影响因素及影响因素实际值；The preprocessing module is used to obtain the medical record file, the medical record file includes the patient's basic information and medical record data, the patient's basic information includes the patient identification, the patient's personal information, and the living habit data. processing a data set, the preprocessing data set includes influencing factors affecting the incidence of stroke and actual values of the influencing factors;
发病率计算模块，用于获取影响因素候选值与风险数值之间的对应关系，根据所述预处理数据集、所述影响因素候选值与风险数值之间的对应关系得到每个所述影响因素实际值对应的因素风险值，根据所有所述影响因素实际值对应的因素风险值进行计算，得到发病风险值，根据所述发病风险值得到与所述预处理数据集对应的脑卒中发病风险率。The incidence rate calculation module is used to obtain the corresponding relationship between the candidate value of the influencing factor and the risk value, and obtain each of the influencing factors according to the corresponding relationship between the preprocessed data set, the candidate value of the influencing factor and the risk value The factor risk value corresponding to the actual value is calculated according to the factor risk value corresponding to the actual value of all the influencing factors to obtain the onset risk value, and the stroke onset risk rate corresponding to the preprocessed data set is obtained according to the onset risk value. .
第三方面，本发明还提出了一种存储介质，存储有计算机指令程序，所述计算机指令程序被处理器执行时，使得所述处理器执行第一方面任一项所述方法的步骤。In a third aspect, the present invention also provides a storage medium storing a computer instruction program, which, when executed by a processor, causes the processor to execute the steps of any one of the methods in the first aspect.
第四方面，本发明还提出了一种计算机设备，包括至少一个存储器、至少一个处理器，所述存储器存储有计算机指令程序，所述计算机指令程序被所述处理器执行时，使得所述处理器执行第一方面任一项所述方法的步骤。In a fourth aspect, the present invention also provides a computer device, comprising at least one memory and at least one processor, wherein the memory stores a computer instruction program, and when the computer instruction program is executed by the processor, the processing The device performs the steps of the method according to any one of the first aspects.
综上所述，本发明的一种脑卒中筛查方法通过对病历档案进行预处理得到包括影响脑卒中发病的影响因素及影响因素实际值的预处理数据集，根据所述预处理数据集、所述影响因素候选值与风险数值之间的对应关系得到每个所述影响因素实际值对应的因素风险值，根据所有所述影响因素实际值对应的因素风险值进行计算，得到发病风险值，根据所述发病风险值得到与所述预处理数据集对应的脑卒中发病风险率。本发明实现了根据病理档案自动化计算出脑卒中发病风险率，有利于及早发现发病风险，避免错过干预最佳时期。To sum up, a stroke screening method of the present invention obtains a preprocessing data set including the influencing factors affecting the onset of stroke and the actual values of the influencing factors by preprocessing the medical record file. According to the preprocessing data set, The corresponding relationship between the candidate value of the influencing factor and the risk value obtains the factor risk value corresponding to the actual value of each of the influencing factors, and calculates according to the factor risk value corresponding to the actual value of all the influencing factors to obtain the risk of disease value, The stroke incidence risk rate corresponding to the preprocessing data set is obtained according to the incidence risk value. The invention realizes the automatic calculation of the stroke incidence risk rate according to the pathological file, which is conducive to early detection of the incidence risk and avoids missing the best period of intervention.
附图说明Description of drawings
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to these drawings without creative efforts.
其中：in:
图1为一个实施例中一种脑卒中筛查方法的流程图；1 is a flowchart of a stroke screening method in one embodiment;
图2为一个实施例中病历档案进行预处理的流程图；Fig. 2 is a flow chart of preprocessing of medical records in one embodiment;
图3为一个实施例中形成高危患者列表的流程图；3 is a flow chart of forming a high-risk patient list in one embodiment;
图4为一个实施例中高危患者就医提醒流程图；Fig. 4 is a flow chart of medical treatment reminder for high-risk patients in one embodiment;
图5为一个实施例中形成高危患者治疗指导意见的流程图；Fig. 5 is a flow chart of forming treatment guidance for high-risk patients in one embodiment;
图6为一个实施例中形成有效治疗案例库的流程图；6 is a flow chart of forming an effective treatment case database in one embodiment;
图7为另一个实施例中一种脑卒中筛查方法的流程图；7 is a flowchart of a stroke screening method in another embodiment;
图8为一个实施例中一种脑卒中筛查装置的结构框图；FIG. 8 is a structural block diagram of a stroke screening apparatus in one embodiment;
图9为一个实施例中计算机设备的结构框图。FIG. 9 is a structural block diagram of a computer device in one embodiment.
具体实施方式Detailed ways
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
如图1所述，在一个实施例中，提出了一种脑卒中筛查方法，所述方法包括如下步骤：As shown in FIG. 1 , in one embodiment, a stroke screening method is proposed, and the method includes the following steps:
S102、获取病历档案，所述病历档案包括患者基本信息、病历数据，所述患者基本信息包括患者标识、患者个人信息、生活习惯数据；S102. Obtain a medical record file, where the medical record file includes basic patient information and medical record data, and the basic patient information includes a patient identification, patient personal information, and living habit data;
所述病历数据包括患病史、医院就诊记录，比如，患病史包括糖尿病患病史、心血管疾病患病史、心房纤颤患病史、左心室肥厚患病史，医院就诊记录包括未治疗收缩压、治疗后收缩压、心电图、超声检查结果、血液化验结果、拍摄的医学图像、医生的诊断记录，在此举例不作具体限定。可以理解的是，所有病历数据携带有更新数据的日期、更新数据的账号信息，更新数据的账号信息包括医院、医生、用户名。The medical record data includes medical history and hospital visit records. For example, the medical history includes diabetes history, cardiovascular disease history, atrial fibrillation history, and left ventricular hypertrophy history. Treatment systolic blood pressure, post-treatment systolic blood pressure, electrocardiogram, ultrasound examination results, blood test results, photographed medical images, and doctor's diagnosis records are not specifically limited here. It can be understood that all medical record data carry the date of updating the data and the account information of the updated data, and the account information of the updated data includes the hospital, the doctor, and the user name.
所述患者标识用于唯一标识一个患者，比如，具有唯一性的档案号、身份证号码、医保卡号，在此只举例不作具体限定。The patient identifier is used to uniquely identify a patient, for example, a unique file number, ID number, and medical insurance card number, which are only examples and not specifically limited here.
所述患者个人信息用于记录患者的姓名、联系方式、出生日期。The patient's personal information is used to record the patient's name, contact information, and date of birth.
所述生活习惯数据用于记录可能引发疾病的生活习惯，比如，吸烟史、喝酒史，在此举例不作具体限定。The living habit data is used to record living habits that may cause diseases, such as smoking history and drinking history, which are not specifically limited by examples herein.
S104、根据所述病历档案进行预处理，得到预处理数据集，所述预处理数据集包括影响脑卒中发病的影响因素及影响因素实际值；S104, performing preprocessing according to the medical record file to obtain a preprocessing data set, where the preprocessing data set includes influencing factors affecting the onset of stroke and actual values of the influencing factors;
具体而言，根据所述病历档案的患者基本信息及病历数据、影响脑卒中发病的影响因素获取影响因素实际值，影响脑卒中发病的影响因素及影响因素实际值即为预处理数据集。Specifically, the actual values of the influencing factors are obtained according to the patient's basic information and medical record data in the medical record file, and the influencing factors that affect the onset of stroke, and the actual values of the influencing factors and the influencing factors that affect the onset of stroke are the preprocessing data set.
所述影响脑卒中发病的影响因素包括患者的性别、年龄、吸烟史、未治疗收缩压、治疗后收缩压、糖尿病患病史、心血管疾病患病史、心房纤颤患病史、左心室肥厚患病史，在此不作具体限定。The influencing factors affecting the incidence of stroke include the patient's gender, age, smoking history, untreated systolic blood pressure, post-treatment systolic blood pressure, history of diabetes, history of cardiovascular disease, history of atrial fibrillation, and left ventricle. The history of hypertrophy is not specifically limited here.
所述影响因素实际值是指病历档案中影响因素对应的值。比如，影响因素性别的实际值包括男、女，影响因素年龄的实际值为患者的岁数，影响因素吸烟史的实际值包括吸烟(标识为有)、不吸烟(标识为无)，影响因素未治疗收缩压的实际值是指治疗前实际测量的收缩压，影响因素糖尿病患病史、心血管疾病患病史、心房纤颤患病史、左心室肥厚患病史的实际值是指患病(标识为有)，未患病(标识为无)。The actual value of the influencing factor refers to the value corresponding to the influencing factor in the medical record file. For example, the actual value of gender of the influencing factor includes male and female, the actual value of age of the influencing factor is the age of the patient, the actual value of smoking history of the influencing factor includes smoking (marked as yes), non-smoking (marked as no), and the actual value of the impacting factor is not The actual value of systolic blood pressure after treatment refers to the actual measured systolic blood pressure before treatment, and the actual value of influencing factors is the history of diabetes, cardiovascular disease, atrial fibrillation, and left ventricular hypertrophy. (marked with), not sick (marked with no).
所述治疗后收缩压是指接受降压治疗后的收缩压，比如服用降压药，测量收缩压时处于药物效力期内。The post-treatment systolic blood pressure refers to the systolic blood pressure after receiving antihypertensive treatment, such as taking antihypertensive drugs, and measuring the systolic blood pressure is within the effective period of the drug.
所述未治疗收缩压是指接受降压治疗前的收缩压。The untreated systolic blood pressure refers to the systolic blood pressure before receiving antihypertensive treatment.
S106、获取影响因素候选值与风险数值之间的对应关系；S106, obtaining the corresponding relationship between the candidate value of the influencing factor and the risk value;
所述影响因素候选值与风险数值之间的对应关系包括影响因素候选值、风险数值。比如，改良的弗明汉卒中量表中的因素候选值与风险数值之间的对应关系作为影响因素候选值与风险数值之间的对应关系，在此举例不作具体限定。The corresponding relationship between the candidate value of the influencing factor and the risk value includes the candidate value of the influencing factor and the risk value. For example, the corresponding relationship between the candidate factor values and the risk value in the modified Framingham Stroke Scale is regarded as the corresponding relationship between the candidate value of the influencing factor and the risk value, which is not specifically limited in this example.
男性影响因素候选值与风险数值之间的对应关系具体包括：The corresponding relationship between the candidate values of male influencing factors and risk values includes:
女性影响因素候选值与风险数值之间的对应关系具体包括：The corresponding relationship between the candidate values of female influencing factors and risk values includes:
S108、根据所述预处理数据集、所述影响因素候选值与风险数值之间的对应关系得到每个所述影响因素实际值对应的因素风险值；S108, obtaining a factor risk value corresponding to the actual value of each of the influencing factors according to the preprocessing data set, the corresponding relationship between the candidate value of the influencing factor and the risk value;
具体而言，把所述预处理数据集中影响脑卒中发病的影响因素及影响因素实际值在所述影响因素候选值与风险数值之间的对应关系中查找，影响因素实际值等于影响因素候选值，则影响因素候选值对应的风险数值为影响因素实际值对应的因素风险值。比如，张三、女性、67岁(因素风险值为4分)、治疗后收缩压122mmHg(因素风险值为4分)、有糖尿病患病史(因素风险值为3分)、无吸烟史(因素风险值为0分)、无心血管疾病患病史(因素风险值为0分)、无心房纤颤患病史(因素风险值为0分)、无左心室肥厚患病史(因素风险值为0分)。Specifically, the influencing factors affecting the incidence of stroke and the actual value of the influencing factors in the preprocessing data set are searched in the corresponding relationship between the candidate influencing factor values and the risk value, and the actual value of the influencing factor is equal to the candidate value of the influencing factor. , the risk value corresponding to the candidate value of the influencing factor is the factor risk value corresponding to the actual value of the influencing factor. For example, Zhang San, female, 67 years old (factor risk value is 4 points), systolic blood pressure after treatment is 122mmHg (factor risk value is 4 points), has a history of diabetes (factor risk value is 3 points), no smoking history ( Factor risk value is 0 points), no history of cardiovascular disease (factor risk value 0), no history of atrial fibrillation (factor risk value 0), no history of left ventricular hypertrophy (factor risk value) 0 points).
S110、根据所有所述影响因素实际值对应的因素风险值进行计算，得到发病风险值；S110, calculating according to the factor risk values corresponding to the actual values of all the influencing factors, to obtain the disease risk value;
具体而言，根据所有所述影响因素实际值对应的因素风险值进行计算得到发病风险值，比如，把所有所述影响因素实际值对应的因素风险值相加得到发病风险值，张三、女性、67岁(因素风险值为4分)、治疗后收缩压122mmHg(因素风险值为4分)、有糖尿病患病史(因素风险值为3分)、无吸烟史(因素风险值为0分)、无心血管疾病患病史(因素风险值为0分)、无心房纤颤患病史(因素风险值为0分)、无左心室肥厚患病史(因素风险值为0分)，则发病风险值为11分，在此举例不作具体限定。Specifically, the risk value of the incidence is calculated according to the factor risk values corresponding to the actual values of all the influencing factors, for example, the risk value of the incidence is obtained by adding the factor risk values corresponding to the actual values of all the influencing factors. , 67 years old (factor risk value is 4 points), systolic blood pressure after treatment is 122mmHg (factor risk value is 4 points), history of diabetes (factor risk value is 3 points), no smoking history (factor risk value is 0 points) ), no history of cardiovascular disease (factor risk value 0), no history of atrial fibrillation (factor risk value 0), no history of left ventricular hypertrophy (factor risk value 0), then The incidence risk value is 11 points, which is not specifically limited in this example.
可以理解的是，计算发病风险值时，只需计算治疗后收缩压对应的因素风险值或未治疗收缩压对应的因素风险值。从更新日期最后的患者的未治疗收缩压、更新日期最后的患者的治疗后收缩压中选择更新日期最晚对应的因素风险值用于计算发病风险值。It is understandable that, when calculating the risk value of the disease, it is only necessary to calculate the risk value of the factor corresponding to the systolic blood pressure after treatment or the risk value of the factor corresponding to the systolic blood pressure without treatment. The risk value of the factor corresponding to the latest update date was selected from the untreated systolic blood pressure of the patient with the latest update date and the post-treatment systolic blood pressure of the patient with the latest update date to calculate the risk value of morbidity.
S112、根据所述发病风险值得到与所述预处理数据集对应的脑卒中发病风险率。S112. Obtain a stroke incidence risk rate corresponding to the preprocessed data set according to the incidence risk value.
具体而言，根据所述发病风险值从脑卒中发病风险换算量表中获取脑卒中发病风险率。比如，改良的弗明汉卒中量表中的发病风险值与10年卒中风险对应关系作为脑卒中发病风险换算量表，在此举例不作具体限定。Specifically, the stroke incidence risk rate is obtained from the stroke incidence risk conversion scale according to the incidence risk value. For example, the corresponding relationship between the incidence risk value and the 10-year stroke risk in the modified Framingham Stroke Scale is used as the stroke incidence risk conversion scale, which is not specifically limited in this example.
男性改良的弗明汉卒中量表中的发病风险值与10年卒中风险对应关系如下表：The relationship between the incidence risk value and the 10-year stroke risk in the male modified Framingham Stroke Scale is shown in the following table:
女性改良的弗明汉卒中量表中的发病风险值与10年卒中风险对应关系如下表：The relationship between the incidence risk value and the 10-year stroke risk on the modified Framingham Stroke Scale for women is as follows:
比如，张三、女性的发病风险值为11分，根据女性改良的弗明汉卒中量表中的发病风险值与10年卒中风险对应关系可知张三10年卒中风险的发病风险率为8％，在此举例不作具体限定。For example, the risk value of Zhang San and women is 11 points. According to the corresponding relationship between the risk value in the modified Framingham Stroke Scale for women and the 10-year stroke risk, it can be seen that Zhang San's 10-year stroke risk is 8%. , which is not specifically limited by this example.
本方法通过对病历档案进行预处理得到包括影响脑卒中发病的影响因素及影响因素实际值的预处理数据集，根据所述预处理数据集、所述影响因素候选值与风险数值之间的对应关系得到每个所述影响因素实际值对应的因素风险值，根据所有所述影响因素实际值对应的因素风险值进行计算，得到发病风险值，根据所述发病风险值得到与所述预处理数据集对应的脑卒中发病风险率。从而实现了根据病理档案自动化计算出脑卒中发病风险率，有利于及早发现发病风险，避免错过干预最佳时期。The method obtains a preprocessing data set including the influencing factors affecting the onset of stroke and the actual values of the influencing factors by preprocessing the medical record files. According to the correspondence between the preprocessing data set, the candidate value of the influencing factor and the risk value relationship to obtain the factor risk value corresponding to the actual value of each of the influencing factors, calculate according to the factor risk value corresponding to the actual value of all the influencing factors, obtain the risk value of the disease, and obtain the preprocessing data according to the risk value of the disease. Corresponding stroke risk rate for the set. Thereby, the risk rate of stroke is automatically calculated based on the pathological files, which is conducive to early detection of the risk and avoids missing the best time for intervention.
在一个实施例中，所述病历数据可以由多个用户进行添加。比如，本方法可以是一个医院共用一个用户账号，也可以是不同医院不同科室设置不同的用户账号，患者在不同医院、不同科室看诊后的病历数据，通过患者标识录入病历数据，从而使患者标识对应的病历档案包含了该患者所有的病历数据，确保了本方法计算出的所述预处理数据集对应的脑卒中发病风险率的准确性，避免了患者更换医院时需要重新建立病历档案引起的医疗资源的浪费、看诊成本的增加。In one embodiment, the medical record data may be added by multiple users. For example, in this method, a hospital can share a user account, or different departments in different hospitals can set up different user accounts. The medical record data of patients after seeing a doctor in different hospitals and different departments can be entered into the medical record data through the patient identifier, so that the patient can The medical record file corresponding to the identification contains all the medical record data of the patient, which ensures the accuracy of the stroke incidence risk rate corresponding to the preprocessing data set calculated by this method, and avoids the need to re-establish the medical record file when the patient changes hospitals. The waste of medical resources and the increase of medical costs.
在另一个实施例中，本方法应用在一个医院范围内的病历档案时，所述病历数据可以由同一个用户建档、添加，方法简单。In another embodiment, when the method is applied to a medical record file within a hospital, the medical record data can be archived and added by the same user, and the method is simple.
如图2所述，在一个实施例中，所述根据所述病历档案进行预处理，得到预处理数据集，所述预处理数据集包括影响脑卒中发病的影响因素及影响因素实际值，具体包括：As shown in FIG. 2 , in one embodiment, the preprocessing is performed according to the medical record file to obtain a preprocessing data set, and the preprocessing data set includes the influencing factors affecting the incidence of stroke and the actual values of the influencing factors. include:
S202、根据所述患者个人信息确定患者的性别、年龄；S202, determining the gender and age of the patient according to the patient's personal information;
所述患者的年龄是向下取整，比如，1950年5月31日生日，在2019年1月1日计算时年龄为68岁7个月，在本方法中按68岁计算。The age of the patient is rounded down, for example, a birthday on May 31, 1950, when calculated on January 1, 2019, is 68 years and 7 months, and is calculated as 68 years in this method.
由于男性、女性的生理、生活习惯等不同，不同性别的影响因素对脑卒中发病风险率的影响不同。Due to the differences in men's and women's physiology and living habits, the influence factors of different genders have different effects on the risk rate of stroke.
S204、根据所述生活习惯数据确定患者的吸烟史；S204, determining the smoking history of the patient according to the living habit data;
所述吸烟史包括吸烟(标识为有)、不吸烟(标识为无)。The smoking history includes smoking (marked with yes) and non-smoking (marked with no).
S206、根据所述病历数据确定患者的糖尿病患病史、心血管疾病患病史、心房纤颤患病史、左心室肥厚患病史；S206, determine the patient's diabetes history, cardiovascular disease history, atrial fibrillation history, and left ventricular hypertrophy history according to the medical record data;
糖尿病患病史、心血管疾病患病史、心房纤颤患病史、左心室肥厚患病史的实际值是指患病(标识为有)，未患病(标识为无)。The actual values of diabetes history, cardiovascular disease history, atrial fibrillation history, and left ventricular hypertrophy history refer to diseased (marked as yes) and unaffected (marked as no).
S208、根据所述病历数据获取最后更新的患者的未治疗收缩压、治疗后收缩压；S208, obtaining the last updated untreated systolic blood pressure and post-treatment systolic blood pressure of the patient according to the medical record data;
具体而言，是获取更新日期最后的患者的未治疗收缩压，获取更新日期最后的患者的治疗后收缩压，比如，张三，更新日期最后的患者的未治疗收缩压为2018年12月1日的168mmHg，更新日期最后的患者的治疗后收缩压为2018年12月2日的135mmHg。Specifically, it is to obtain the untreated systolic blood pressure of the patient with the latest update date, and obtain the post-treatment systolic blood pressure of the patient with the latest update date. For example, Zhang San, the untreated systolic blood pressure of the patient with the latest update date is December 1, 2018 The post-treatment systolic blood pressure of the patient with the latest update date was 135 mmHg on December 2, 2018.
S210、根据所述患者的性别、年龄、吸烟史、未治疗收缩压、治疗后收缩压、糖尿病患病史、心血管疾病患病史、心房纤颤患病史、左心室肥厚患病史得到所述预处理数据集。S210, obtain according to the patient's gender, age, smoking history, untreated systolic blood pressure, post-treatment systolic blood pressure, diabetes history, cardiovascular disease history, atrial fibrillation history, and left ventricular hypertrophy history the preprocessed dataset.
可以理解的是，所述预处理数据集包括影响脑卒中发病的影响因素包括患者的性别、年龄、吸烟史、未治疗收缩压、治疗后收缩压、糖尿病患病史、心血管疾病患病史、心房纤颤患病史、左心室肥厚患病史。It can be understood that the preprocessing data set includes factors that affect the incidence of stroke, including the patient's gender, age, smoking history, untreated systolic blood pressure, post-treatment systolic blood pressure, history of diabetes, and history of cardiovascular disease. , History of atrial fibrillation, history of left ventricular hypertrophy.
在一个实施例中，所述根据所有所述影响因素实际值对应的因素风险值进行计算，得到发病风险值，具体包括：把所有所述影响因素实际值对应的因素风险值进行加权求和得到发病风险值。具体而言，根据影响因素的重要性确定权重，然后把所有所述影响因素实际值对应的因素风险值进行加权求和得到发病风险值，比如，张三、女性、67岁(因素风险值为4分)、治疗后收缩压122mmHg(因素风险值为4分)、有糖尿病患病史(因素风险值为3分)、无吸烟史(因素风险值为0分)、无心血管疾病患病史(因素风险值为0分)、无心房纤颤患病史(因素风险值为0分)、无左心室肥厚患病史(因素风险值为0分)，年龄权重1、吸烟史权重1、未治疗收缩压权重1、治疗后收缩压权重1.1、糖尿病患病史权重1.15、心血管疾病患病史权重1.2、心房纤颤患病史权重1.2、左心室肥厚患病史权重1，则发病风险值为11.85分(年龄4分*权重1+治疗后收缩压4分*权重1.1+糖尿病患病史3分*权重1.15)，在此举例不作具体限定。In one embodiment, the calculating according to the factor risk values corresponding to the actual values of all the influencing factors to obtain the disease risk value specifically includes: weighting and summing the factor risk values corresponding to the actual values of all the influencing factors to obtain Disease risk value. Specifically, the weights are determined according to the importance of the influencing factors, and then the risk values of the factors corresponding to the actual values of all the influencing factors are weighted and summed to obtain the risk value of onset, for example, Zhang San, female, 67 years old (the risk value of the factors is 4 points), systolic blood pressure of 122 mmHg after treatment (factor risk value of 4 points), a history of diabetes (factor risk value of 3 points), no smoking history (factor risk value of 0 points), and no history of cardiovascular disease (factor risk value of 0 points), no history of atrial fibrillation (factor risk value of 0 points), no history of left ventricular hypertrophy (factor risk value of 0 points), age weight 1, smoking history weight 1, The weight of untreated systolic blood pressure is 1, the weight of systolic blood pressure after treatment is 1.1, the weight of history of diabetes is 1.15, the weight of history of cardiovascular disease is 1.2, the weight of history of atrial fibrillation is 1.2, and the weight of history of left ventricular hypertrophy is 1. The risk value was 11.85 points (age 4 points*weight 1+post-treatment systolic blood pressure 4 points*weight 1.1+diabetes history 3 points*weight 1.15), which is not specifically limited in this example.
如图3所述，在一个实施例中，提出了一种脑卒中筛查方法，所述方法包括如下步骤：As shown in FIG. 3, in one embodiment, a stroke screening method is proposed, and the method includes the following steps:
S302、获取病历档案，所述病历档案包括患者基本信息、病历数据，所述患者基本信息包括患者标识、患者个人信息、生活习惯数据；S302. Obtain a medical record file, where the medical record file includes patient basic information and medical record data, and the patient basic information includes patient identification, patient personal information, and living habit data;
S304、根据所述病历档案进行预处理，得到预处理数据集，所述预处理数据集包括影响脑卒中发病的影响因素及影响因素实际值；S304. Perform preprocessing according to the medical record file to obtain a preprocessing data set, where the preprocessing data set includes influencing factors affecting the onset of stroke and actual values of the influencing factors;
S306、获取影响因素候选值与风险数值之间的对应关系；S306, obtaining the corresponding relationship between the candidate value of the influencing factor and the risk value;
S308、根据所述预处理数据集、所述影响因素候选值与风险数值之间的对应关系得到每个所述影响因素实际值对应的因素风险值；S308, obtaining a factor risk value corresponding to the actual value of each of the influencing factors according to the preprocessing data set, the corresponding relationship between the candidate value of the influencing factor and the risk value;
S310、根据所有所述影响因素实际值对应的因素风险值进行计算，得到发病风险值；S310, calculating according to the factor risk values corresponding to the actual values of all the influencing factors, to obtain the disease risk value;
S312、根据所述发病风险值得到与所述预处理数据集对应的脑卒中发病风险率。S312. Obtain the stroke incidence risk rate corresponding to the preprocessing data set according to the incidence risk value.
S314、获取预设的脑卒中发病风险率阀值；S314. Obtain a preset stroke risk rate threshold;
所述预设的脑卒中发病风险率阀值用于评估患者是否属于高危患者。其中，所述预设的脑卒中发病风险率阀值包括男性预设的脑卒中发病风险率阀值、女性预设的脑卒中发病风险率阀值，可以理解的是，男性预设的脑卒中发病风险率阀值和女性预设的脑卒中发病风险率阀值可以设置为不同，也可以设置为部分相同。在另一个实施例中，对年龄段进行划分，所述预设的脑卒中发病风险率阀值根据性别和年龄进行设置，比如30至40岁的男性预设的脑卒中发病风险率阀值、30至40岁的女性预设的脑卒中发病风险率阀值、40至50岁男性的预设的脑卒中发病风险率阀值、50至60岁男性的预设的脑卒中发病风险率阀值可以设置为不同，也可以设置为部分相同，在此举例，不作具体限定。从而有利于后续对高危患者的管理并避免错过干预最佳时期。The preset stroke risk rate threshold is used to evaluate whether the patient is a high-risk patient. Wherein, the preset stroke incidence risk rate threshold includes a preset stroke incidence risk rate threshold for men and a preset stroke incidence risk rate threshold for women. It can be understood that the preset stroke incidence rate threshold for men The incidence risk rate threshold and the women's preset stroke incidence risk rate threshold can be set to be different, or can be set to be partially the same. In another embodiment, age groups are divided, and the preset stroke incidence risk rate threshold is set according to gender and age, for example, the preset stroke incidence risk rate threshold for males aged 30 to 40, Predetermined stroke incidence risk rate threshold for women aged 30 to 40 years, predetermined stroke incidence risk rate threshold for men aged 40 to 50 years, and predetermined stroke incidence risk rate threshold for men aged 50 to 60 years It can be set to be different, and can also be set to be partially the same, which is exemplified here and not specifically limited. This facilitates the subsequent management of high-risk patients and avoids missing the best time for intervention.
S316、当所述预处理数据集对应的脑卒中发病风险率超过所述预设的脑卒中发病风险率阀值时，把所述病历档案添加到高危患者列表。S316. When the stroke incidence risk rate corresponding to the preprocessed data set exceeds the preset stroke incidence risk rate threshold, add the medical record file to the high-risk patient list.
具体而言，当所述预处理数据集对应的脑卒中发病风险率超过所述预设的脑卒中发病风险率阀值时，把所述病历档案的患者基本信息、病历数据添加到高危患者列表。通过对高危患者列表的管理，可以避免错过干预最佳时期，而且有利于根据高危患者列表对有限的医疗资源的有效分配。Specifically, when the stroke incidence risk rate corresponding to the preprocessed data set exceeds the preset stroke incidence risk rate threshold, the basic patient information and medical record data of the medical record file are added to the high-risk patient list . Through the management of the high-risk patient list, it is possible to avoid missing the best period of intervention and facilitate the efficient allocation of limited medical resources according to the high-risk patient list.
如图4所述，在一个实施例中，在上述实施例的基础上所述方法还包括如下步骤：As shown in FIG. 4, in one embodiment, the method further includes the following steps on the basis of the above-mentioned embodiment:
S402、获取所述高危患者列表；S402, obtaining the high-risk patient list;
S404、获取预设的提醒数据；S404, obtain preset reminder data;
所述预设的提醒数据用于就医时间提醒，不同的性别、年龄、脑卒中发病风险率可以设置为不同或者部分相同或全部相同，比如，脑卒中发病风险率为30％，则要求每周去医院就诊一次，在此举例不作具体限定。The preset reminder data is used for medical treatment time reminders, and different genders, ages, and stroke risk rates can be set to be different, partially the same, or all the same. Go to the hospital for one visit, which is not specifically limited in this example.
S406、根据所述高危患者列表、所述预设的提醒数据提醒患者就医。S406. Remind the patient to seek medical treatment according to the high-risk patient list and the preset reminder data.
具体而言，根据所述高危患者列表、所述预设的提醒数据向患者发送就医提醒。比如，通过短信、微信小程序发送信息、终端APP发送信息提醒患者就医，在此举例不作具体限定。从而避免患者遗漏就医错过干预最佳时期，提高了用户体验。Specifically, a medical reminder is sent to the patient according to the high-risk patient list and the preset reminder data. For example, sending information through SMS, WeChat applet, and sending information through terminal APP to remind patients to seek medical treatment, which are not specifically limited in this example. Thereby, patients can avoid missing medical treatment and miss the best period of intervention, and improve user experience.
如图5所述，在一个实施例中，在上述实施例的基础上所述方法还包括如下步骤：As shown in FIG. 5, in one embodiment, the method further includes the following steps on the basis of the above-mentioned embodiment:
S502、获取所述高危患者列表；S502, obtaining the high-risk patient list;
S504、发送所述高危患者列表给临床救治中心；S504, sending the high-risk patient list to the clinical treatment center;
具体而言，把所述高危患者列表对应的患者基本信息、病历数据发送给对应的临床救治中心。Specifically, the basic patient information and medical record data corresponding to the high-risk patient list are sent to the corresponding clinical treatment center.
所述临床救治中心的数量为至少一个，用于专业研究和救治脑卒中患者，临床救治中心的数量根据需要设置，每个临床救治中心分管部分区域的病理档案，比如，根据患者住址划分到对应的临床救治中心，或根据患者最后就医的医院划分到对应的临床救治中心，在此举例不作具体限定。The number of the clinical treatment centers is at least one, which is used for professional research and treatment of stroke patients. The number of clinical treatment centers is set according to needs. Each clinical treatment center is responsible for the pathological files of some areas, for example, according to the patient's address. There is no specific limitation in this example.
S506、获取所述临床救治中心反馈的治疗指导意见；S506. Obtain the treatment guidance feedback from the clinical treatment center;
具体而言，临床救治中心根据收到的患者基本信息、病历数据进行分析，根据每个高危患者的具体情况给出治疗指导意见。Specifically, the clinical treatment center analyzes the basic patient information and medical record data received, and gives treatment guidance according to the specific conditions of each high-risk patient.
S508、根据所述临床救治中心反馈的治疗指导意见更新所述病历档案的治疗指导意见。S508. Update the treatment guidance in the medical record file according to the treatment guidance fed back by the clinical treatment center.
具体而言，根据所述临床救治中心反馈的治疗指导意见、更新日期更新到所述病历档案的治疗指导意见。从而使患者在本方法涉及的任何医院就医时，医生都能快速的根据治疗指导意见进行积极有效的治疗，提高了医疗效率、质量。Specifically, according to the treatment guidance fed back by the clinical treatment center and the update date, the treatment guidance is updated to the medical record file. Therefore, when the patient seeks medical treatment in any hospital involved in the method, the doctor can quickly carry out active and effective treatment according to the treatment guidance, which improves the medical efficiency and quality.
如图6所述，在一个实施例中，提出了一种脑卒中筛查方法，所述方法包括如下步骤：As shown in FIG. 6, in one embodiment, a stroke screening method is proposed, and the method includes the following steps:
S602、获取病历档案，所述病历档案包括患者基本信息、病历数据，所述患者基本信息包括患者标识、患者个人信息、生活习惯数据；S602. Obtain a medical record file, where the medical record file includes patient basic information and medical record data, and the patient basic information includes patient identification, patient personal information, and living habit data;
S604、根据所述病历档案进行预处理，得到预处理数据集，所述预处理数据集包括影响脑卒中发病的影响因素及影响因素实际值；S604. Perform preprocessing according to the medical record file to obtain a preprocessing data set, where the preprocessing data set includes influencing factors affecting the onset of stroke and actual values of the influencing factors;
S606、获取影响因素候选值与风险数值之间的对应关系；S606, obtaining the corresponding relationship between the candidate value of the influencing factor and the risk value;
S608、根据所述预处理数据集、所述影响因素候选值与风险数值之间的对应关系得到每个所述影响因素实际值对应的因素风险值；S608, obtaining a factor risk value corresponding to the actual value of each of the influencing factors according to the preprocessing data set, the corresponding relationship between the candidate value of the influencing factor and the risk value;
S610、根据所有所述影响因素实际值对应的因素风险值进行计算，得到发病风险值；S610, calculating according to the factor risk values corresponding to the actual values of all the influencing factors, to obtain the disease risk value;
S612、根据所述发病风险值得到与所述预处理数据集对应的脑卒中发病风险率；S612, obtaining the stroke incidence risk rate corresponding to the preprocessing data set according to the incidence risk value;
S614、获取预设的治疗有效阀值；S614. Obtain a preset effective threshold for treatment;
所述预设的治疗有效阀值用于评估患者治疗效果，比如，3％，10％，30％，50％，在此举例不作具体限定。The preset therapeutic effective threshold is used to evaluate the therapeutic effect of the patient, for example, 3%, 10%, 30%, and 50%, which are not specifically limited in this example.
S616、获取所述患者标识对应的脑卒中发病风险率列表；S616. Obtain a list of stroke incidence risk rates corresponding to the patient identifier;
所述患者标识对应的脑卒中发病风险率列表包括更新时间、发病风险率、发病风险率对应的预处理数据集。The stroke incidence risk rate list corresponding to the patient identifier includes the update time, the incidence risk rate, and the preprocessing data set corresponding to the incidence risk rate.
S618、当所述预处理数据集对应的脑卒中发病风险率低于所述患者标识对应的脑卒中发病风险列表中的最高值时，所述患者标识对应的脑卒中发病风险列表中的最高值减去所述预处理数据集对应的脑卒中发病风险率得到发病风险率降低值，所述发病风险率降低值高于所述预设的治疗有效阀值则把所述病历档案添加到待分析的有效治疗案例列表；S618. When the stroke onset risk rate corresponding to the preprocessed data set is lower than the highest value in the stroke onset risk list corresponding to the patient identifier, the highest value in the stroke onset risk list corresponding to the patient identifier The stroke incidence risk rate corresponding to the preprocessing data set is subtracted to obtain the incidence risk rate reduction value, and the incidence risk rate reduction value is higher than the preset treatment effective threshold, and the medical record file is added to the to-be-analyzed value. list of effective treatment cases;
S620、发送所述待分析的有效治疗案例列表给专家研究中心；S620. Send the list of effective treatment cases to be analyzed to the expert research center;
具体而言，把所述待分析的有效治疗案例列表对应的患者基本信息、病历数据发送给对应的专家研究中心。Specifically, the basic patient information and medical record data corresponding to the effective treatment case list to be analyzed are sent to the corresponding expert research center.
所述专家研究中心的数量为至少一个，用于脑卒中患者救治质量改进研究，专家研究中心的数量根据需要设置，专家研究中心由脑卒中专家组成。The number of the expert research center is at least one, which is used for the research on improving the treatment quality of stroke patients. The number of expert research centers is set according to needs, and the expert research center is composed of stroke experts.
S622、获取所述专家研究中心的分析结果；S622, obtaining the analysis result of the expert research center;
具体而言，所述专家研究中心根据收到的患者基本信息、病历数据进行分析得到有效治疗的分析结果。Specifically, the expert research center analyzes the received patient basic information and medical record data to obtain an analysis result of effective treatment.
S624、根据所述专家研究中心的分析结果更新有效治疗案例库。S624. Update the effective treatment case database according to the analysis result of the expert research center.
具体而言，根据所述专家研究中心的有效治疗的分析结果更新到所述有效治疗案例库。从而有利于医生学习参考，提高了医生的专业能力，提高了医疗效率、质量。Specifically, the effective treatment case database is updated according to the analysis result of the effective treatment of the expert research center. Thereby, it is beneficial for doctors to learn and refer, improve the professional ability of doctors, and improve the efficiency and quality of medical treatment.
如图7所述，在另一个实施例中，提出了一种脑卒中筛查方法，所述方法包括如下步骤：As shown in FIG. 7, in another embodiment, a stroke screening method is proposed, and the method includes the following steps:
S702、获取病历档案，所述病历档案包括患者基本信息、病历数据，所述患者基本信息包括患者标识、患者个人信息、生活习惯数据；S702. Obtain a medical record file, where the medical record file includes patient basic information and medical record data, and the patient basic information includes patient identification, patient personal information, and living habit data;
S704、根据所述病历档案进行预处理，得到预处理数据集，所述预处理数据集包括影响脑卒中发病的影响因素及影响因素实际值；S704. Perform preprocessing according to the medical record file to obtain a preprocessing data set, where the preprocessing data set includes influencing factors affecting the onset of stroke and actual values of the influencing factors;
S706、获取影响因素候选值与风险数值之间的对应关系；S706, obtaining the corresponding relationship between the candidate value of the influencing factor and the risk value;
S708、根据所述预处理数据集、所述影响因素候选值与风险数值之间的对应关系得到每个所述影响因素实际值对应的因素风险值；S708, obtaining a factor risk value corresponding to the actual value of each of the influencing factors according to the preprocessing data set, the corresponding relationship between the candidate value of the influencing factor and the risk value;
S710、根据所有所述影响因素实际值对应的因素风险值进行计算，得到发病风险值；S710, calculating according to the factor risk values corresponding to the actual values of all the influencing factors, to obtain the disease risk value;
S712、根据所述发病风险值得到与所述预处理数据集对应的脑卒中发病风险率；S712, obtaining the stroke incidence risk rate corresponding to the preprocessing data set according to the incidence risk value;
S714、获取所述患者标识对应的脑卒中发病风险率列表；S714. Obtain a list of stroke incidence risk rates corresponding to the patient identifier;
S716、根据所述预处理数据集对应的脑卒中发病风险率、所述患者标识对应的脑卒中发病风险率列表更新所述患者标识对应的脑卒中发病风险率列表。S716. Update the stroke incidence risk rate list corresponding to the patient identifier according to the stroke incidence risk rate corresponding to the preprocessed data set and the stroke incidence risk rate list corresponding to the patient identifier.
具体而言，获取所述患者标识对应的脑卒中发病风险率列表最后更新的脑卒中发病风险率，当所述预处理数据集对应的脑卒中发病风险率不等于所述患者标识对应的脑卒中发病风险率列表最后更新的脑卒中发病风险率则把所述预处理数据集对应的脑卒中发病风险率添加到所述患者标识对应的脑卒中发病风险率列表，当所述预处理数据集对应的脑卒中发病风险率等于所述患者标识对应的脑卒中发病风险率列表最后更新的脑卒中发病风险率则结束。可以理解的是，把所述预处理数据集对应的脑卒中发病风险率添加到所述患者标识对应的脑卒中发病风险率列表具体包括：把更新日期、所述预处理数据集对应的脑卒中发病风险率、所述预处理数据集添加到所述患者标识对应的脑卒中发病风险率列表中。Specifically, the last updated stroke incidence risk rate of the stroke incidence risk rate list corresponding to the patient identifier is obtained, when the stroke incidence risk rate corresponding to the preprocessed data set is not equal to the stroke incidence rate corresponding to the patient identifier The stroke incidence risk rate that is last updated in the incidence risk rate list is to add the stroke incidence risk rate corresponding to the preprocessing data set to the stroke incidence risk rate list corresponding to the patient identifier. When the preprocessing data set corresponds to the stroke incidence risk rate list The stroke incidence risk rate is equal to the last updated stroke incidence risk rate of the stroke incidence risk rate list corresponding to the patient identifier, and the end is ended. It can be understood that adding the stroke incidence risk rate corresponding to the preprocessing data set to the stroke incidence risk rate list corresponding to the patient identifier specifically includes: adding the update date, the stroke incidence rate corresponding to the preprocessing data set. The incidence risk rate and the preprocessing data set are added to the stroke incidence risk rate list corresponding to the patient identification.
如图8所述，在一个实施例中，提出了一种脑卒中筛查装置，所述装置包括：As shown in FIG. 8, in one embodiment, a stroke screening device is proposed, the device comprising:
病历档案模块801，用于记录病历档案；The medical record file module 801 is used to record the medical record file;
预处理模块802，用于获取病历档案，所述病历档案包括患者基本信息、病历数据，所述患者基本信息包括患者标识、患者个人信息、生活习惯数据，根据所述病历档案进行预处理，得到预处理数据集，所述预处理数据集包括影响脑卒中发病的影响因素及影响因素实际值；The preprocessing module 802 is used to obtain a medical record file, the medical record file includes basic patient information and medical record data, and the patient basic information includes patient identification, patient personal information, and living habit data. Preprocessing is performed according to the medical record file to obtain Preprocessing a data set, the preprocessing data set includes influencing factors affecting the incidence of stroke and actual values of the influencing factors;
发病率计算模块803，用于获取影响因素候选值与风险数值之间的对应关系，根据所述预处理数据集、所述影响因素候选值与风险数值之间的对应关系得到每个所述影响因素实际值对应的因素风险值，根据所有所述影响因素实际值对应的因素风险值进行计算，得到发病风险值，根据所述发病风险值得到与所述预处理数据集对应的脑卒中发病风险率。The incidence rate calculation module 803 is used to obtain the corresponding relationship between the candidate value of the influencing factor and the risk value, and obtain each of the influences according to the preprocessing data set, the corresponding relationship between the candidate value of the influencing factor and the risk value. The factor risk value corresponding to the actual value of the factor is calculated according to the factor risk value corresponding to the actual value of all the influencing factors to obtain the onset risk value, and the stroke onset risk corresponding to the preprocessed data set is obtained according to the onset risk value. Rate.
本装置通过对病历档案进行预处理得到包括影响脑卒中发病的影响因素及影响因素实际值的预处理数据集，根据所述预处理数据集、所述影响因素候选值与风险数值之间的对应关系得到每个所述影响因素实际值对应的因素风险值，根据所有所述影响因素实际值对应的因素风险值进行计算，得到发病风险值，根据所述发病风险值得到与所述预处理数据集对应的脑卒中发病风险率。从而实现了根据病理档案自动化计算出脑卒中发病风险率，有利于及早发现发病风险，避免错过干预最佳时期。The device obtains a preprocessing data set including the influencing factors affecting the onset of stroke and the actual values of the influencing factors by preprocessing the medical record files. relationship to obtain the factor risk value corresponding to the actual value of each of the influencing factors, calculate according to the factor risk value corresponding to the actual value of all the influencing factors, obtain the risk value of the disease, and obtain the preprocessing data according to the risk value of the disease. Corresponding stroke risk rate for the set. Thereby, the risk rate of stroke is automatically calculated based on the pathological files, which is conducive to early detection of the risk and avoids missing the best time for intervention.
在一个实施例中，所述装置还包括：In one embodiment, the apparatus further includes:
高危患者管理模块804，用于获取预设的脑卒中发病风险率阀值，当所述预处理数据集对应的脑卒中发病风险率超过所述预设的脑卒中发病风险率阀值时，把所述病历档案添加到高危患者列表，获取所述高危患者列表，发送所述高危患者列表给临床救治中心，获取所述临床救治中心反馈的治疗指导意见，根据所述临床救治中心反馈的治疗指导意见更新所述病历档案的治疗指导意见。The high-risk patient management module 804 is configured to obtain a preset stroke incidence risk rate threshold, and when the stroke incidence risk rate corresponding to the preprocessed data set exceeds the preset stroke incidence risk rate threshold, set the The medical record file is added to the list of high-risk patients, the list of high-risk patients is obtained, the list of high-risk patients is sent to the clinical treatment center, the treatment guidance feedback from the clinical treatment center is obtained, and the treatment guidance fed back by the clinical treatment center is obtained. Comments Update the treatment guidance for the described medical records.
高危患者就医管理模块805，用于获取所述高危患者列表，获取预设的提醒数据，根据所述高危患者列表、所述预设的提醒数据提醒患者就医。The high-risk patient medical treatment management module 805 is configured to obtain the high-risk patient list, obtain preset reminder data, and remind the patient to seek medical treatment according to the high-risk patient list and the preset reminder data.
在一个实施例中，所述装置还包括：In one embodiment, the apparatus further includes:
有效治疗案例库管理模块806，用于获取预设的治疗有效阀值，获取所述患者标识对应的脑卒中发病风险率列表，当所述预处理数据集对应的脑卒中发病风险率低于所述患者标识对应的脑卒中发病风险列表中的最高值时，所述患者标识对应的脑卒中发病风险列表中的最高值减去所述预处理数据集对应的脑卒中发病风险率得到发病风险率降低值，所述发病风险率降低值高于所述预设的治疗有效阀值则把所述病历档案添加到待分析的有效治疗案例列表，发送所述待分析的有效治疗案例列表给专家研究中心，获取所述专家研究中心的分析结果，根据所述专家研究中心的分析结果更新有效治疗案例库。The effective treatment case database management module 806 is used to obtain a preset treatment effective threshold value, and obtain a list of stroke incidence risk rates corresponding to the patient identifiers. When the stroke incidence risk ratio corresponding to the preprocessed data set is lower than the specified When the highest value in the stroke onset risk list corresponding to the patient identifier, the highest value in the stroke onset risk list corresponding to the patient identifier is subtracted from the stroke onset risk rate corresponding to the preprocessing data set to obtain the onset risk rate If the reduction value of the incidence risk rate is higher than the preset effective treatment threshold, the medical record file is added to the list of effective treatment cases to be analyzed, and the list of effective treatment cases to be analyzed is sent to experts for research The center obtains the analysis results of the expert research center, and updates the effective treatment case database according to the analysis results of the expert research center.
图9示出了一个实施例中计算机设备的内部结构图。该计算机设备具体可以是服务器和终端设备，所述服务器包括但不限于高性能计算机和高性能计算机集群；所述终端设备包括但不限于移动终端设备和台式终端设备，所述移动终端设备包括但不限于手机、平板电脑、智能手表和笔记本电脑，所述台式终端设备包括但不限于台式电脑和车载电脑。如图9所示，该计算机设备包括通过系统总线连接的处理器、存储器和网络接口。其中，存储器包括非易失性存储介质和内存储器。该计算机设备的非易失性存储介质存储有操作系统，还可存储有计算机程序，该计算机程序被处理器执行时，可使得处理器实现一种脑卒中筛查方法。该内存储器中也可储存有计算机程序，该计算机程序被处理器执行时，可使得处理器执行一种脑卒中筛查方法。本领域技术人员可以理解，图9中示出的结构，仅仅是与本申请方案相关的部分结构的框图，并不构成对本申请方案所应用于其上的计算机设备的限定，具体的计算机设备可以包括比图中所示更多或更少的部件，或者组合某些部件，或者具有不同的部件布置。Figure 9 shows an internal structure diagram of a computer device in one embodiment. The computer equipment may specifically be a server and terminal equipment, the server includes but is not limited to high-performance computers and high-performance computer clusters; the terminal equipment includes but is not limited to mobile terminal equipment and desktop terminal equipment, and the mobile terminal equipment includes but is not limited to Not limited to mobile phones, tablet computers, smart watches and notebook computers, the desktop terminal devices include but are not limited to desktop computers and in-vehicle computers. As shown in Figure 9, the computer device includes a processor, memory, and a network interface connected by a system bus. Wherein, the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system, and also stores a computer program, which, when executed by the processor, enables the processor to implement a stroke screening method. A computer program can also be stored in the internal memory, and when executed by the processor, the computer program can cause the processor to execute a stroke screening method. Those skilled in the art can understand that the structure shown in FIG. 9 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied. Include more or fewer components than shown in the figures, or combine certain components, or have a different arrangement of components.
在一个实施例中，本申请提供的一种脑卒中筛查方法可以实现为一种计算机程序的形式，计算机程序可在如图9所示的计算机设备上运行。计算机设备的存储器中可存储组成的一种脑卒中筛查装置的各个程序模板。比如，病历档案模块801、预处理模块802、发病率计算模块803、高危患者管理模块804、高危患者就医管理模块805、有效治疗案例库管理模块806。In one embodiment, a stroke screening method provided by the present application may be implemented in the form of a computer program, and the computer program may be executed on a computer device as shown in FIG. 9 . The memory of the computer device can store various program templates that constitute a stroke screening apparatus. For example, a medical record file module 801 , a preprocessing module 802 , a morbidity calculation module 803 , a high-risk patient management module 804 , a high-risk patient medical treatment management module 805 , and an effective treatment case database management module 806 .
在一个实施例中，一种存储介质，存储有计算机指令程序，其特征在于，所述计算机指令程序被处理器执行时，使得所述处理器执行时实现如下步骤：In one embodiment, a storage medium stores a computer instruction program, wherein when the computer instruction program is executed by a processor, the processor implements the following steps when executed:
获取病历档案，所述病历档案包括患者基本信息、病历数据，所述患者基本信息包括患者标识、患者个人信息、生活习惯数据；Obtain a medical record file, where the medical record file includes basic patient information and medical record data, and the basic patient information includes patient identification, patient personal information, and living habit data;
根据所述病历档案进行预处理，得到预处理数据集，所述预处理数据集包括影响脑卒中发病的影响因素及影响因素实际值；Perform preprocessing according to the medical record file to obtain a preprocessing data set, where the preprocessing data set includes influencing factors affecting the onset of stroke and actual values of the influencing factors;
获取影响因素候选值与风险数值之间的对应关系；Obtain the corresponding relationship between the candidate value of the influencing factor and the risk value;
根据所述预处理数据集、所述影响因素候选值与风险数值之间的对应关系得到每个所述影响因素实际值对应的因素风险值；Obtain the factor risk value corresponding to the actual value of each of the influencing factors according to the corresponding relationship between the preprocessing data set, the candidate value of the influencing factor and the risk value;
根据所有所述影响因素实际值对应的因素风险值进行计算，得到发病风险值；According to the factor risk value corresponding to the actual value of all the influencing factors, the risk value of the disease is obtained;
根据所述发病风险值得到与所述预处理数据集对应的脑卒中发病风险率。The stroke incidence risk rate corresponding to the preprocessing data set is obtained according to the incidence risk value.
在一个实施例中，本发明还提出了一种计算机设备，包括至少一个存储器、至少一个处理器，所述存储器存储有计算机指令程序，所述计算机指令程序被所述处理器执行时，使得所述处理器执行如下步骤:In one embodiment, the present invention also provides a computer device, comprising at least one memory and at least one processor, wherein the memory stores a computer instruction program, and when the computer instruction program is executed by the processor, all The processor performs the following steps:
获取病历档案，所述病历档案包括患者基本信息、病历数据，所述患者基本信息包括患者标识、患者个人信息、生活习惯数据；Obtain a medical record file, where the medical record file includes basic patient information and medical record data, and the basic patient information includes patient identification, patient personal information, and living habit data;
根据所述病历档案进行预处理，得到预处理数据集，所述预处理数据集包括影响脑卒中发病的影响因素及影响因素实际值；Perform preprocessing according to the medical record file to obtain a preprocessing data set, where the preprocessing data set includes influencing factors affecting the onset of stroke and actual values of the influencing factors;
获取影响因素候选值与风险数值之间的对应关系；Obtain the corresponding relationship between the candidate value of the influencing factor and the risk value;
根据所述预处理数据集、所述影响因素候选值与风险数值之间的对应关系得到每个所述影响因素实际值对应的因素风险值；Obtain the factor risk value corresponding to the actual value of each of the influencing factors according to the corresponding relationship between the preprocessing data set, the candidate value of the influencing factor and the risk value;
根据所有所述影响因素实际值对应的因素风险值进行计算，得到发病风险值；According to the factor risk value corresponding to the actual value of all the influencing factors, the risk value of the disease is obtained;
根据所述发病风险值得到与所述预处理数据集对应的脑卒中发病风险率。The stroke incidence risk rate corresponding to the preprocessing data set is obtained according to the incidence risk value.
需要说明的是，上述一种脑卒中筛查方法、一种脑卒中筛查装置、计算机设备属于一个总的发明构思，一种脑卒中筛查方法、一种脑卒中筛查装置、计算机设备实施例中的内容可相互适用。It should be noted that the above-mentioned stroke screening method, stroke screening device, and computer equipment belong to a general inventive concept, a stroke screening method, a stroke screening device, and computer equipment for implementing The contents of the examples are mutually applicable.
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机程序来指令相关的硬件来完成，所述的程序可存储于一非易失性计算机可读取存储介质中，该程序在执行时，可包括如上述各方法的实施例的流程。其中，本申请所提供的各实施例中所使用的对存储器、存储、数据库或其它介质的任何引用，均可包括非易失性和/或易失性存储器。非易失性存储器可包括只读存储器(ROM)、可编程ROM(PROM)、电可编程ROM(EPROM)、电可擦除可编程ROM(EEPROM)或闪存。易失性存储器可包括随机存取存储器(RAM)或者外部高速缓冲存储器。作为说明而非局限，RAM以多种形式可得，诸如静态RAM(SRAM)、动态RAM(DRAM)、同步DRAM(SDRAM)、双数据率SDRAM(DDRSDRAM)、增强型SDRAM(ESDRAM)、同步链路(Synchlink)DRAM(SLDRAM)、存储器总线(Rambus)直接RAM(RDRAM)、直接存储器总线动态RAM(DRDRAM)、以及存储器总线动态RAM(RDRAM)等。Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium , when the program is executed, it may include the flow of the above-mentioned method embodiments. Wherein, any reference to memory, storage, database or other medium used in the various embodiments provided in this application may include non-volatile and/or volatile memory. Nonvolatile memory may include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain Road (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
以上实施例的各技术特征可以进行任意的组合，为使描述简洁，未对上述实施例中的各个技术特征所有可能的组合都进行描述，然而，只要这些技术特征的组合不存在矛盾，都应当认为是本说明书记载的范围。The technical features of the above embodiments can be combined arbitrarily. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features It is considered to be the range described in this specification.
以上所述实施例仅表达了本申请的几种实施方式，其描述较为具体和详细，但并不能因此而理解为对本申请专利范围的限制。应当指出的是，对于本领域的普通技术人员来说，在不脱离本申请构思的前提下，还可以做出若干变形和改进，这些都属于本申请的保护范围。因此，本申请专利的保护范围应以所附权利要求为准。The above-mentioned embodiments only represent several embodiments of the present application, and the descriptions thereof are relatively specific and detailed, but should not be construed as a limitation on the scope of the patent of the present application. It should be pointed out that for those skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the scope of protection of the patent of the present application shall be subject to the appended claims.
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|---|---|---|---|
| CN201910756885.0ACN110619957A (en) | 2019-08-16 | 2019-08-16 | Cerebral stroke screening method and device, storage medium and equipment |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910756885.0ACN110619957A (en) | 2019-08-16 | 2019-08-16 | Cerebral stroke screening method and device, storage medium and equipment |
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| CN110619957Atrue CN110619957A (en) | 2019-12-27 |
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| CN201910756885.0APendingCN110619957A (en) | 2019-08-16 | 2019-08-16 | Cerebral stroke screening method and device, storage medium and equipment |
| Country | Link |
|---|---|
| CN (1) | CN110619957A (en) |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112102233A (en)* | 2020-08-05 | 2020-12-18 | 深圳市第二人民医院(深圳市转化医学研究院) | Method, device, equipment and medium for discriminating cerebral apoplexy causes based on magnetic resonance image |
| CN112768071A (en)* | 2021-01-08 | 2021-05-07 | 广州市第十二人民医院 | Cardiovascular disease risk prediction device |
| CN113539483A (en)* | 2021-08-02 | 2021-10-22 | 曜立科技(北京)有限公司 | Chronic disease screening service system based on cloud computing |
| CN113539468A (en)* | 2021-06-23 | 2021-10-22 | 吾征智能技术(北京)有限公司 | Cerebral apoplexy multizone risk rapid assessment and screening service system |
| CN114360720A (en)* | 2021-11-25 | 2022-04-15 | 北京清华长庚医院 | System and method for screening and evaluating stroke |
| CN116246776A (en)* | 2023-04-04 | 2023-06-09 | 曜立科技(北京)有限公司 | Method and system for assisting cerebral apoplexy diagnosis decision |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050261558A1 (en)* | 2004-04-15 | 2005-11-24 | Eaton Charles B | Disease risk evaluation tool and method |
| CN105303054A (en)* | 2015-11-12 | 2016-02-03 | 清华大学 | Coronary heart disease condition assessment model and onset risk evaluation method based on linear time invariant system |
| CN106066938A (en)* | 2016-06-03 | 2016-11-02 | 贡京京 | A kind of disease prevention and health control method and system |
| CN107273652A (en)* | 2017-03-10 | 2017-10-20 | 马立伟 | Intelligent risk of stroke monitoring system |
| CN107887020A (en)* | 2017-11-01 | 2018-04-06 | 京东方科技集团股份有限公司 | A kind of sign detecting system and sign detection method |
| CN108198594A (en)* | 2017-12-22 | 2018-06-22 | 北京鑫丰南格科技股份有限公司 | Electronic health record management method and system |
| CN109119149A (en)* | 2018-08-31 | 2019-01-01 | 广州华科盈医疗科技有限公司 | For monitoring the system and equipment of stroke risk |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050261558A1 (en)* | 2004-04-15 | 2005-11-24 | Eaton Charles B | Disease risk evaluation tool and method |
| CN105303054A (en)* | 2015-11-12 | 2016-02-03 | 清华大学 | Coronary heart disease condition assessment model and onset risk evaluation method based on linear time invariant system |
| CN106066938A (en)* | 2016-06-03 | 2016-11-02 | 贡京京 | A kind of disease prevention and health control method and system |
| CN107273652A (en)* | 2017-03-10 | 2017-10-20 | 马立伟 | Intelligent risk of stroke monitoring system |
| CN107887020A (en)* | 2017-11-01 | 2018-04-06 | 京东方科技集团股份有限公司 | A kind of sign detecting system and sign detection method |
| CN108198594A (en)* | 2017-12-22 | 2018-06-22 | 北京鑫丰南格科技股份有限公司 | Electronic health record management method and system |
| CN109119149A (en)* | 2018-08-31 | 2019-01-01 | 广州华科盈医疗科技有限公司 | For monitoring the system and equipment of stroke risk |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112102233A (en)* | 2020-08-05 | 2020-12-18 | 深圳市第二人民医院(深圳市转化医学研究院) | Method, device, equipment and medium for discriminating cerebral apoplexy causes based on magnetic resonance image |
| CN112102233B (en)* | 2020-08-05 | 2023-12-26 | 深圳市第二人民医院(深圳市转化医学研究院) | Brain stroke etiology screening method, device, equipment and medium based on magnetic resonance image |
| CN112768071A (en)* | 2021-01-08 | 2021-05-07 | 广州市第十二人民医院 | Cardiovascular disease risk prediction device |
| CN113539468A (en)* | 2021-06-23 | 2021-10-22 | 吾征智能技术(北京)有限公司 | Cerebral apoplexy multizone risk rapid assessment and screening service system |
| CN113539468B (en)* | 2021-06-23 | 2023-09-15 | 吾征智能技术(北京)有限公司 | Service system for rapidly evaluating and screening cerebral apoplexy multi-region risk |
| CN113539483A (en)* | 2021-08-02 | 2021-10-22 | 曜立科技(北京)有限公司 | Chronic disease screening service system based on cloud computing |
| CN113539483B (en)* | 2021-08-02 | 2022-03-22 | 曜立科技(北京)有限公司 | Chronic disease screening service system based on cloud computing |
| CN114360720A (en)* | 2021-11-25 | 2022-04-15 | 北京清华长庚医院 | System and method for screening and evaluating stroke |
| CN116246776A (en)* | 2023-04-04 | 2023-06-09 | 曜立科技(北京)有限公司 | Method and system for assisting cerebral apoplexy diagnosis decision |
| CN116246776B (en)* | 2023-04-04 | 2023-11-07 | 曜立科技(北京)有限公司 | Method and system for assisting cerebral apoplexy diagnosis decision |
| Publication | Publication Date | Title |
|---|---|---|
| CN110619957A (en) | Cerebral stroke screening method and device, storage medium and equipment | |
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