Shen et al., 2022
| Publication | Publication Date | Title |
|---|---|---|
| Yang et al. | A survey of recent methods for addressing AI fairness and bias in biomedicine | |
| Kukar | Transductive reliability estimation for medical diagnosis | |
| Ma et al. | A Bayesian hierarchical model for network meta-analysis of multiple diagnostic tests | |
| Huang et al. | Explainable discovery of disease biomarkers: The case of ovarian cancer to illustrate the best practice in machine learning and Shapley analysis | |
| Bektaş | EKSL: An effective novel dynamic ensemble model for unbalanced datasets based on LR and SVM hyperplane-distances | |
| Mezghani et al. | An analysis of 3D knee kinematic data complexity in knee osteoarthritis and asymptomatic controls | |
| Lin et al. | A unified Bayesian framework for exact inference of area under the receiver operating characteristic curve | |
| Lugosi et al. | Uncertainty quantification in metric spaces | |
| Araújo et al. | ARTIFICIAL INTELLIGENCE IN HEALTHCARE APPLICATIONS TARGETING CANCER DIAGNOSIS–PART II: INTERPRETING THE MODEL OUTPUTS AND SPOTLIGHTING THE PERFORMANCE METRICS | |
| Ajil et al. | Enhancing the healthcare by an automated detection method for PCOS using supervised machine learning algorithm | |
| Uddin et al. | An ensemble machine learning-based approach to predict thyroid disease using hybrid feature selection | |
| Lv et al. | Unveiling diagnostic information for type 2 diabetes through interpretable machine learning | |
| Ma et al. | A hybrid bayesian hierarchical model combining cohort and case–control studies for meta-analysis of diagnostic tests: Accounting for partial verification bias | |
| Yin et al. | Enhancing brain tumor classification by integrating radiomics and deep learning features: A comprehensive study utilizing ensemble methods on MRI scans | |
| Dixon et al. | A systematic review of the role of quantitative CT in the prognostication and disease monitoring of interstitial lung disease | |
| Shen et al. | Model-Based Clustering and Prediction With Mixed Measurements Involving Surrogate Classifiers | |
| Gupta et al. | Enhanced Classification of Imbalanced Medical Datasets using Hybrid Data-Level, Cost-Sensitive and Ensemble Methods | |
| Chandralekha et al. | Enhanced Prediction of Breast Cancer Using Machine Learning Ensemble Models and Techniques | |
| Wang et al. | Auxiliary marker-assisted classification in the absence of class identifiers | |
| Hsu et al. | A multiple imputation‐based sensitivity analysis approach for regression analysis with a missing not at random covariate | |
| Chang et al. | A Bayesian latent class model to predict kidney obstruction in the absence of gold standard | |
| Lyu et al. | A new semiparametric transformation approach to disease diagnosis with multiple biomarkers | |
| Liu et al. | Extending Hui‐Walter framework to correlated outcomes with application to diagnosis tests of an eye disease among premature infants | |
| Huang et al. | Bayesian reclassification statistics for assessing improvements in diagnostic accuracy | |
| Liu et al. | Estimating personalized diagnostic rules depending on individualized characteristics |