bio-medical-clinical-ner

CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks

Code to generate realistic synthetic healthcare data with diffusion models

LLM graph-RAG SQL generator for large databases with poor documentation

Introduction to CPRD using synthetic datasets

[arXiv 2025] Pre-training script for Clinical ModernBERT

Code for "Generating Clinically Realistic EHR Data via a Hierarchy- and Semantics-Guided Transformer"

Welcome to the Federated Learning for Rare Genetic Disorder Classification project! This repository demonstrates the application of Federated Learning (FL) techniques to classify rare genetic disorders using Electronic Health Record (EHR) data while addressing two critical challenges: privacy and limited data availability.

The SynMed EHR Generator is a tool for creating synthetic Electronic Health Records (EHRs) represented as Knowledge Graphs in RDF and FHIR formats.