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

Built a regression model that predicts the expected days of hospitalization time and an uncertainty range estimation.

KDD2020 paper; Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder

attribute-based access control implementation for EHRs

COVID-19 EHR data analysis pipeline

Pipeline of Data Extraction, Preprocessing, Representation, and Training for MIMIC-III

R package for cleaning anthropometric (height and weight) data from electronic health record systems.

Nature Medicine paper. A Multidimensional Precision Medicine Approach for Autism Subtype Identification.

Pipeline for building Machine Learning Classifiers for the diagnosis of EHR text-data. We used this pipeline for our study, published here: https://doi.org/10.2196/23930.

Code to generate realistic synthetic healthcare data with diffusion models

omopcept : an R package to access OMOP conCEPTs (no cons!) and flexible tidyverse compatible R functions for querying and visualising.

A software toolkit for the interconversion of standard data models for phenotypic data

IPEHR-gateway is a solution to provide benefits of decentralized architecture to common HMS apps using standard APIs. IPEHR gateway is used to encrypt and decrypt passing data, support AQL queries of encrypted data and manage user’s cryptographic keys.

Missing data imputation for longitudinal multi-variable EHR data. Paper in JAMIA.

This repo contains demonstration code to illustrate the use of the FIHR standard for healthcare data, developed by the HL7 organisation.

Official implementation of TACCO (Task-guided Co-clustering).

A deep learning project predicting hyperinflammatory syndrome among COVID-19 patients using EHR data.

Introduction to CPRD using synthetic datasets

Collection of bio-medical and clinical ner models in spacy, stanza, flair with some utility files

Official implementation of "FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records" (MLHC 2024)