adverse-drug-reaction

Here are 18 public repositories matching this 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 scikit-learn xgboost rdkit imbalanced-learning adverse-drug-reaction

Updated Oct 25, 2023
Jupyter Notebook

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

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

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

Updated Jan 17, 2020
Python

neksa / openfda-faers

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FAERS Adverse Reaction Events database and OpenFDA API

openfda pharmacovigilance adverse-drug-reaction

Updated Feb 19, 2020
HTML

NYXFLOWER / APRILE

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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

Updated Aug 26, 2022
Python

andresilvapimentel / SARAlerts

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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

Updated Dec 22, 2023
Jupyter Notebook

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

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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

Updated Jul 3, 2020
Jupyter Notebook

koziolk / openfda-bigdata-pipeline

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OpenFDA BigData Pipeline

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

Updated Jan 30, 2022
Jupyter Notebook

OAE-ontology / OAE

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OAE: Ontology of Adverse Events

ontology adverse-events obofoundry adverse-drug-reaction

Updated Sep 3, 2022

AIMedLab / LP-SDA

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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

Updated Aug 16, 2020
Python

sushmita04 / ADR-detection-BioBERT

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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