sujant's Stars
kexinhuang12345/DeepPurpose
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
chembl/chembl_webresource_client
Official Python client for accessing ChEMBL API
ZhiGroup/Med-BERT
Med-BERT, contextualized embedding model for structured EHR data
pharmaverse/admiral
ADaM in R Asset Library
AstraZeneca/awesome-drug-pair-scoring
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
atorus-research/CDISC_pilot_replication
A modern replication of the CDISC pilot table outputs, using the PHUSE Test Data Factory ADaM data, using the R programming language
cdisc-org/cdisc-rules-engine
Open source offering of the cdisc rules engine
samanfrm/ADRtarget
Machine learning guided association of adverse drug reactions with in vitro off-target pharmacology
bips-hb/pvm
A collection of signal detection methods used in the field of pharmacovigilance
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.
Deep1994/An-Attentive-Neural-Model-for-labeling-Adverse-Drug-Reactions
An Attentive Neural Sequence Labeling Model for Adverse Drug Reactions Mentions Extraction
neksa/openfda-faers
FAERS Adverse Reaction Events database and OpenFDA API
Shakesbeery/vigipy
A medical device/pharmacovigilance library written in python
thepanacealab/InternetArchive-Pharmacovigilance-Tweets
This repository contains the code of Mining archive.org’s Twitter stream grab for Pharmacovigilance research gold paper.
Matthew-Demoy/BERT-Social-Media-Pharmacovigilance
An Honors Thesis on sentiment analysis of tweets mentioning drug affects.
NYXFLOWER/APRILE
APRILE: A python library for exploring Adverse Polypharmacy Reaction using Intelligent Learner and Explainer
koziolk/openfda-bigdata-pipeline
OpenFDA BigData Pipeline enables collection, processing, and real-time presentation of data - on adverse drug events from the openFDA database
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
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.
CTCycle/EMADB-Autopilot
Automated browser to download drug adverse reaction reports from the European Database of Suspected Adverse Reactions Reports (EudraVigilance)
LiamHobby/Admiral-Hackathon
Code for the CDISC {admiral} hackathon, Feb 2023. The objective of this hackathon is to develop ADaM datasets in R using the ADaM in R Asset Library {admiral} and other Pharmaverse packages.
alessioluschi/HITBert
A fine-tuned BERT-based NLP model for classyfing HIT-related adverse events reports
belatub/mimic_ade_prediction
Prediction of adverse drug events using the MIMIC-IV and MIMIC-IV-ED datasets
jenwilson521/Designated-Medical-Event-Pathways
This is a repository of pathways discovered using PathFX to better understand drug-induced designated medical events listed in warnings, boxed warnings, and precautions on drug labels.
Malwoiniak/AdverseDrugEventPipeline
Drug Side Effect Checker - The Pharmacovigilance Dashboard Prototype build with FDA (FAERS) data
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.
HHHuiyu/study_design_diagram
This is the package for drawing study design workflow diagrams by inputting TA dataset of SDTM from CDISC standard
louisletinier/MAITAI
Milan-Chicago/AbbVie-Adverse-Drug-Prediction
Create a model that can predict likelihood of all adverse events for ALL drug pair combinations. The two relevant datasets (FAERS and Chemble) will be merged and used to predict likelihood of adverse effects.
riow1983/ClinicalTrial
Prediction of the occurrence of adverse events during clinical trials from the drug feature