ehr-data
There are 2 repositories under ehr-data topic.
cumc-dbmi / cehr-bert
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks
Language:Python 22opensaucerer / attribute-based-access-control
attribute-based access control implementation for EHRs
Language:Python 16yinchangchang / TAME
KDD2020 paper; Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder
Language:Python 16linzhenyuyuchen / kddMIMIC
Pipeline of Data Extraction, Preprocessing, Representation, and Training for MIMIC-III
Language:Python 14aaryapatel007 / Patient-Selection-for-Diabetes-Drug-Testing
Built a regression model that predicts the expected days of hospitalization time and an uncertainty range estimation.
Language:Jupyter Notebook 12carriedaymont / growthcleanr
R package for cleaning anthropometric (height and weight) data from electronic health record systems.
Language:R 12levrex / DiagnosisExtraction_ML
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.
Language:Jupyter Notebook 11luoyuanlab / autism_precision_medicine
Nature Medicine paper. A Multidimensional Precision Medicine Approach for Autism Subtype Identification.
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CNAG-Biomedical-Informatics / convert-pheno
A software toolkit for the interconversion of standard data models for phenotypic data
Language:Perl 9bsn-si / IPEHR-gateway
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.
Language:Go 8Endava / endava-hl7fhir-openapi
This repo contains demonstration code to illustrate the use of the FIHR standard for healthcare data, developed by the HL7 organisation.
Language:C# 7Missing data imputation for longitudinal multi-variable EHR data. Paper in JAMIA.
Language:R 6andysouth / omopcept
omopcept : an R package to access OMOP conCEPTs (all pros, no cons!) and flexible tidyverse compatible R functions for querying.
Language:R 5cdcai / premier_analysis
A deep learning project predicting hyperinflammatory syndrome among COVID-19 patients using EHR data.
Language:Jupyter Notebook 5magesh-technovator / bio-medical-clinical-ner
Collection of bio-medical and clinical ner models in spacy, stanza, flair with some utility files
Language:Python 4abhilampard / Hospital-Readmission-Prediction-XGBoost
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.
Language:R 3matjazbravc / Endava.Hl7.Fhir.OpenAPI.Demo
OpenAPI which maps custom EHRs into FHIR R4 Patient and Observation resources. Other resources were not implemented (yet).
Language:C# 2OpenAPI which maps custom EHRs into FHIR R4 Patient and Observation resources. Other resources were not implemented (yet).
Language:C# 2MuizMahdi / EHR-Route-Mono
The monolithic server-side repository of EHRoute, a secure Electronic Health Records (EHR) storage and sharing solution
Language:Java 2sulagnag / Udacity_AI_for_Healthcare-P3-EHR-Diebetes-Drug-Testing
Predict patients who are likely to be in the hospital for at-least 5-7 days
Language:HTML 2YujiaBao / Hawkes-ADR
"Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data" MLHC 2017
Language:C++ 2CarlosUziel / diabetes-drug-testing
Identifying which patients to include or exclude from the clinical trials of a new diabetes drug based on predicted hospitalization time given by a machine learning regression model
Language:Jupyter Notebook 1jerrodanzalone / Rural-Urban-Mapping-Protocol-for-Linking-External-Sources
This pilot project deploys a supplemental OMOP table to map external measures of rurality (RUCC and RUCA).
Language:Python 1MaitreeVaria / Federated-Learning-Rare-Genetic-Disorder-Classification
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.
Language:Jupyter Notebook 1Praneethkanchanakuntla / Electronic-Health-Care-System
A Electronic Health Care System is aimed digitalizing the health care by providing the hospital services in online mode.
Language:Jupyter Notebook 1premchand9985 / Predicting_Incident_HeartFailure_Disease_Based-on-Transformers
This repository hosts a cutting-edge deep learning model developed to predict 6-month incident heart failure utilizing electronic health records (EHRs). Heart failure is a multifaceted medical condition characterized by its significant impact on patients' well-being and healthcare systems.
Language:Python 1ptogias / dream-challenge-ehr
EHR DREAM Challenge: Patient Mortality Prediction Submission. "moore" team submission
vgees / AI-in-EHR-Data
Regression Model to predict the estimated hospitalisation for a patient to test a new drug for Diabetes using EHR data
Language:HTML 1CornellMHILab / AI-Driven-Suicide-Risk-Prediction-in-Post-Hospitalized-Men
This research uncovers the increased suicide risk in men with mental illness post-hospitalization, analyzing 1.4M+ cases. It highlights the importance of targeted interventions based on identified risk factors.
Language:Python 0janschneida / Clinical-SimSpace-Explorer
Tool for EHR & mutation profile based patient clustering & visualization, developed in partial fulfillment of the requirements for the course “Medical Informatics” at the University Medical Center Göttingen.
Language:Python 0PBarnaghi / medtimeline
The MedTimeline library aims to provide a standardised process for pre-processing and generating patient journey timelines for the cardiology EHR dataset. Developed by Louise Rigny (Great Ormond Street Hospital for Children)
Language:Jupyter Notebook 0PericlesHat / TACCO
Official implementation of TACCO (Task-guided Co-clustering).
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brunof99 / Data-Driven-Healthcare-Insights
Discovering healthcare insights through data-driven analysis of EHRs. This project comprises three subprojects: data cleaning & preparation, exploratory data analysis and lastly, predictive modeling for in-hospital mortality and clinical risk stratification.
Language:Jupyter NotebookOsilaja78 / HealthDatum
HealthDatum is an electronic health record system that provides easy means of managing clinical data.
Language:Python
