Medical Concept Annotation Tool
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Updated
Jun 12, 2024 - Python
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
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)
Four Year Project: Electronic Health Records using Blockchain
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.
Website for the JuliaHealth organization (powered by Franklin.jl).
R package for delineating temporal dataset shifts in Eletronic Health Records
Source code of ME2Vec.
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