adverse-drug-reaction

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ricardoamferreira /Predicting-Adverse-Drug-Reactions-with-Machine-Learning

Star24

The objective of this work is to develop machine learning (ML) methods that can accurately predict adverse drug reactions (ADRs) using the databases SIDER and OFFSIDES.

machine-learning scikit-learn xgboost rdkit imbalanced-learning adverse-drug-reaction

UpdatedOct 25, 2023
Jupyter Notebook

Deep1994 /An-Attentive-Neural-Model-for-labeling-Adverse-Drug-Reactions

Star17

An Attentive Neural Sequence Labeling Model for Adverse Drug Reactions Mentions Extraction

neural-network sequence-labeling attention-model adverse-drug-reaction

UpdatedJan 17, 2020
Python

neksa /openfda-faers

Star15

FAERS Adverse Reaction Events database and OpenFDA API

openfda pharmacovigilance adverse-drug-reaction

UpdatedFeb 19, 2020
HTML

bmascat /pharmacovigilance-literature-mining

Star14

Co-occurrence analysis in pubmed and faers of two lists of terms.

python pandas pubmed drugs matplotlib-pyplot adverse-drug-reaction streamlit faers

UpdatedMar 8, 2025
Jupyter Notebook

NYXFLOWER /APRILE

Star7

APRILE: A python library for exploring Adverse Polypharmacy Reaction using Intelligent Learner and Explainer

machine-learning bioinformatics pytorch explainable-ai graph-neural-networks adverse-drug-reaction biomedicine side-effect-mechanism

UpdatedAug 26, 2022
Python

Code and Datasets for the paper "Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports", published on BMC Medical Informatics and Decision Making in 2019.

signal-detection label-propagation pharmacovigilance adverse-drug-reaction faers

UpdatedAug 16, 2020
Python

OAE-ontology /OAE

Star5

OAE: Ontology of Adverse Events

ontology adverse-events obofoundry adverse-drug-reaction

UpdatedSep 3, 2022

andresilvapimentel /SARAlerts

Star5

SARAlerts is a code to generate structural alerts (toxic alerts) using Local Interpretable Model-Agnostic Explanations (LIME) of machine learning models from Tox21, Clintox, and Sider datasets.

machine-learning toxicology interpretable-machine-learning adverse-drug-reaction structural-alerts toxic-alerts

UpdatedDec 22, 2023
Jupyter Notebook

sumanismcse /Extraction-of-Adverse-Drug-Reaction-from-Unstructured-Data-using-Bidirectional-LSTM-Network

Star5

For this problem, we proposed the use of bidirectional-LSTM’s(Long Short Term Memory) with 1-D CNN layer to classify patient notes at character level and at word level. The 1-D CNN is employed to scale back the training time. In order to improve the performance, we will also feed the network combined word embedding consisting of Pre-trained word…

deep-neural-networks deep-learning word2vec machine-learning-algorithms word-embeddings extraction named-entities reactions lstm named-entity-recognition lstm-model lstm-neural-networks bidirectional-lstm cnn-text-classification unstructured-data pharmacovigilance adverse-drug-reaction drug-target-interactions

UpdatedJul 3, 2020
Jupyter Notebook

koziolk /openfda-bigdata-pipeline

Star5

OpenFDA BigData Pipeline enables collection, processing, and real-time presentation of data - on adverse drug events from the openFDA database

kafka big-data mongodb openfda adverse-drug-reaction fda-drug openfda-api

UpdatedJan 30, 2022
Jupyter Notebook

CTCycle /EMADB-Autopilot

Star4

Automated browser to download drug adverse reaction reports from the European Database of Suspected Adverse Reactions Reports (EudraVigilance)

chromedriver drugs ema pharmacovigilance adverse-drug-reaction automated-browser-tool

UpdatedJul 11, 2025
Python

Malwoiniak /AdverseDrugEventPipeline

Star2

Drug Side Effect Checker - The Pharmacovigilance Dashboard Prototype build with FDA (FAERS) data

fda data-visualisation adverse-events side-effects drug-safety pharmacovigilance design-principles adverse-drug-reaction faers dashboards-tableau design-science-research fda-api

UpdatedAug 9, 2023
Jupyter Notebook

sushmita04 /ADR-detection-BioBERT

Star2

The repo consists of an ML model based on BioBERT by virtue of transfer learning, to detect adverse drug reactions (ADRs). It also consists of the data used by the model.

machine-learning deep-learning transfer-learning adverse-drug-reaction biobert