Medical Concept Annotation Tool

Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

A customizable pipeline for data extraction from MIMIC-IV.

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

FEMR (Framework for Electronic Medical Records) provides tooling for large-scale, self-supervised learning using electronic health records

FlexIble Data-Driven pipeLinE – a preprocessing pipeline that transforms structured EHR data into feature vectors to be used with ML algorithms. https://doi.org/10.1093/jamia/ocaa139

An Open Source Hospital Management System

The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning" (TheWebConf 2023).

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

Building data processing pipelines for documents processing with NLP using Apache NiFi and related services

Library and CLI for randomly generating medical data like you might get out of an Electronic Health Records (EHR) system

Four Year Project: Electronic Health Records using Blockchain

Functions to map between ICD-10 terms and PheCodes for UK Biobank hospital electronic health records

Code for the paper: Multi-Label Clinical Time-Series Generation via Conditional GAN (IEEE TKDE)

General tutorials for the setup and use of MedCAT.

Prepare UK Biobank Electronic Health Record data for research

[Python] Additional works on Edward Choi's medGAN (generative adversarial network for electronic health records). In particular: boosting the prediction score using dataset augmentation.

R package for delineating temporal dataset shifts in Eletronic Health Records

Website for the JuliaHealth organization (powered by Franklin.jl).

Source code of ME2Vec.