adverse-drug-reaction

There are 4 repositories under adverse-drug-reaction topic.

ricardoamferreira / Predicting-Adverse-Drug-Reactions-with-Machine-Learning
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 adverse-drug-reaction rdkit scikit-learn xgboost imbalanced-learning
Language:Jupyter Notebook 23
Deep1994 / An-Attentive-Neural-Model-for-labeling-Adverse-Drug-Reactions
An Attentive Neural Sequence Labeling Model for Adverse Drug Reactions Mentions Extraction
sequence-labeling neural-network attention-model adverse-drug-reaction
Language:Python 17
neksa / openfda-faers
FAERS Adverse Reaction Events database and OpenFDA API
openfda adverse-drug-reaction pharmacovigilance
Language:HTML 11
NYXFLOWER / APRILE
APRILE: A python library for exploring Adverse Polypharmacy Reaction using Intelligent Learner and Explainer
machine-learning bioinformatics biomedicine adverse-drug-reaction side-effect-mechanism explainable-ai graph-neural-networks pytorch
Language:Python 7
andresilvapimentel / SARAlerts
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.
adverse-drug-reaction interpretable-machine-learning machine-learning toxicology structural-alerts toxic-alerts
Language:Jupyter Notebook 5
koziolk / openfda-bigdata-pipeline
OpenFDA BigData Pipeline
adverse-drug-reaction big-data fda-drug openfda-api openfda kafka mongodb
Language:Jupyter Notebook 5
OAE-ontology / OAE
OAE: Ontology of Adverse Events
adverse-drug-reaction adverse-events obofoundry ontology
5
sumanismcse / Extraction-of-Adverse-Drug-Reaction-from-Unstructured-Data-using-Bidirectional-LSTM-Network
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 word2vec 100 dimension word embedding trained on the Twitter ADR Dataset database and character embedding generated by a Char-CNN for Named Entity Recognition
adverse-drug-reaction unstructured-data extraction lstm lstm-neural-networks lstm-model bidirectional-lstm cnn-text-classification word-embeddings word2vec machine-learning-algorithms deep-neural-networks deep-learning named-entity-recognition named-entities pharmacovigilance reactions drug-target-interactions
Language:Jupyter Notebook 5
AIMedLab / LP-SDA
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.
adverse-drug-reaction faers label-propagation pharmacovigilance signal-detection
Language:Python 4
CTCycle / EMADB-Autopilot
Automated browser to download drug adverse reaction reports from the European Database of Suspected Adverse Reactions Reports (EudraVigilance)
adverse-drug-reaction automated-browser-tool chromedriver drugs ema pharmacovigilance
Language:Python 3
BreisOne / literature-mining
Co-occurrence analysis in pubmed and faers of two lists of terms.
adverse-drug-reaction drugs faers pandas pubmed python matplotlib-pyplot streamlit
Language:Jupyter Notebook 2
foxlf823 / ADEnormer
An End-to-End System for Adverse Drug Event Recognition and Normalization
adverse-drug-reaction named-entity-recognition entity-linking drug-label
Language:Python 2
Malwoiniak / AdverseDrugEventPipeline
Drug Side Effect Checker - The Pharmacovigilance Dashboard Prototype build with FDA (FAERS) data
adverse-drug-reaction adverse-events dashboards-tableau data-visualisation design-principles design-science-research drug-safety pharmacovigilance side-effects faers fda fda-api
Language:Jupyter Notebook 2
sushmita04 / ADR-detection-BioBERT
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.
adverse-drug-reaction biobert deep-learning machine-learning transfer-learning
Language:Jupyter Notebook 2
HammadFarooq / GPADRlex
GPADRlex: Grouped Phrasal Adverse Drug Reaction lexicon
adverse-drug-reaction adr-lexicon phrasal-lexicon semantic-similarity hierarchical-clustering pharmacovigilance
Language:Python 0
vermashresth / AdverseDrugReaction-App
An AR based Adverse Drug Reaction app made using Unity3D and Vuforia SDK
unity3d ar adverse-drug-reaction
Language:C# 0
alepfu / vizadr
Interactive visualization of adverse drug reactions
adverse-drug-reaction visualization d3 histogram scatter-plot javascript
Language:JavaScript
rupinas / LAPINE
LAPINE: Large-scale ADR related Proteins Identification with Network Embedding
adverse-drug-reaction bioinformatics
Language:Python

adverse-drug-reaction

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

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

neksa / openfda-faers

NYXFLOWER / APRILE

andresilvapimentel / SARAlerts

koziolk / openfda-bigdata-pipeline

OAE-ontology / OAE

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

AIMedLab / LP-SDA

CTCycle / EMADB-Autopilot

BreisOne / literature-mining

foxlf823 / ADEnormer

Malwoiniak / AdverseDrugEventPipeline

sushmita04 / ADR-detection-BioBERT

HammadFarooq / GPADRlex

vermashresth / AdverseDrugReaction-App

alepfu / vizadr

rupinas / LAPINE