sujant

sujant's Stars

• kexinhuang12345/DeepPurpose

  A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

  Language:Jupyter Notebook94631130270

• chembl/chembl_webresource_client

  Official Python client for accessing ChEMBL API

  Language:Python3673211295

• ZhiGroup/Med-BERT

  Med-BERT, contextualized embedding model for structured EHR data

  Language:HTML249151363

• pharmaverse/admiral

  ADaM in R Asset Library

  Language:R219191.3k61

• AstraZeneca/awesome-drug-pair-scoring

  Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)

  8612014

• 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

  Language:R467722

• cdisc-org/cdisc-rules-engine

  Open source offering of the cdisc rules engine

  Language:Python46944412

• samanfrm/ADRtarget

  Machine learning guided association of adverse drug reactions with in vitro off-target pharmacology

  Language:Jupyter Notebook33748

• bips-hb/pvm

  A collection of signal detection methods used in the field of pharmacovigilance

  Language:R25607

• 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.

  Language:Jupyter Notebook221014

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

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

  Language:Python173311

• neksa/openfda-faers

  FAERS Adverse Reaction Events database and OpenFDA API

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• Shakesbeery/vigipy

  A medical device/pharmacovigilance library written in python

  Language:Python10233

• thepanacealab/InternetArchive-Pharmacovigilance-Tweets

  This repository contains the code of Mining archive.org’s Twitter stream grab for Pharmacovigilance research gold paper.

  Language:Python10302

• Matthew-Demoy/BERT-Social-Media-Pharmacovigilance

  An Honors Thesis on sentiment analysis of tweets mentioning drug affects.

  Language:Jupyter Notebook80

• NYXFLOWER/APRILE

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

  Language:Python7224

• koziolk/openfda-bigdata-pipeline

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

  Language:Jupyter Notebook5101

• 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

  Language:Jupyter Notebook5306

• 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.

  Language:Python4301

• CTCycle/EMADB-Autopilot

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

  Language:Python3110

• 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.

  Language:R3101

• alessioluschi/HITBert

  A fine-tuned BERT-based NLP model for classyfing HIT-related adverse events reports

  Language:Jupyter Notebook2

• belatub/mimic_ade_prediction

  Prediction of adverse drug events using the MIMIC-IV and MIMIC-IV-ED datasets

  Language:R21

• 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.

  Language:Jupyter Notebook2

• Malwoiniak/AdverseDrugEventPipeline

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

  Language:Jupyter Notebook2200

• 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.

  Language:Jupyter Notebook2200

• HHHuiyu/study_design_diagram

  This is the package for drawing study design workflow diagrams by inputting TA dataset of SDTM from CDISC standard

  1

• louisletinier/MAITAI

  Language:Jupyter Notebook120

• 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.

  Language:Jupyter Notebook1200

• riow1983/ClinicalTrial

  Prediction of the occurrence of adverse events during clinical trials from the drug feature

  Language:Jupyter Notebook10