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

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

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

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

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

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.

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

attribute-based access control implementation for EHRs

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

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.

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

"Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data" MLHC 2017

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

Prediction of a readmission for a patient based on the Electronic Health Records (EHR) data. This project was done as part of a timed challenge with a time limit of 3 hours to work on this dataset. So, it is just a preliminary model using XGBoost algorithm with some basic data exploration for data processing.

OpenAPI which maps custom EHRs into FHIR R4 Patient and Observation resources. Other resources were not implemented (yet).

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

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

A Electronic Health Care System is aimed digitalizing the health care by providing the hospital services in online mode.

COVID-19 EHR data analysis pipeline

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.