electronic-health-records

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.

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

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

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

MedAlign is a clinician-generated dataset for instruction following with electronic medical records.

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

An Open Source Hospital Management System

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

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

General tutorials for the setup and use of MedCAT.

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

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

[ICLR 2025] ACES: Automatic Cohort Extraction System for Event-Streams

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

Prepare UK Biobank Electronic Health Record data for research

Training HuggingFace models on EHR data

Four Year Project: Electronic Health Records using Blockchain

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