electronic-health-records

There are 59 repositories under electronic-health-records topic.

  • CogStack/MedCAT

    Medical Concept Annotation Tool

    Language:Python4522376104

  • NYUMedML/GNN_for_EHR

    Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

    Language:Python250151259

  • healthylaife/MIMIC-IV-Data-Pipeline

    A customizable pipeline for data extraction from MIMIC-IV.

    Language:Jupyter Notebook18641664

  • som-shahlab/femr

    FEMR (Framework for Electronic Medical Records) provides tooling for large-scale, self-supervised learning using electronic health records

    Language:Python111149013

  • BarnesLab/Patient2Vec

    Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

    Language:Python10412029

  • MLD3/FIDDLE

    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

    Language:Jupyter Notebook863918

  • yangnianzu0515/MoleRec

    The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning" (TheWebConf 2023).

    Language:Python56164
  • sudoEMR

    MyLikita-Health/sudoEMR

    An Open Source Hospital Management System

    Language:JavaScript559653

  • nyukat/COVID-19_prognosis

    An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

    Language:Jupyter Notebook405120

  • CogStack/CogStack-NiFi

    Building data processing pipelines for documents processing with NLP using Apache NiFi and related services

    Language:Python3817819

  • CogStack/MedCATtutorials

    General tutorials for the setup and use of MedCAT.

    Language:HTML319415

  • LuChang-CS/MTGAN

    Code for the paper: Multi-Label Clinical Time-Series Generation via Conditional GAN (IEEE TKDE)

    Language:Python30138

  • HicServices/SynthEHR

    Library and CLI for randomly generating medical data like you might get out of an Electronic Health Records (EHR) system

    Language:C#29673

  • spiros/phemap

    Functions to map between ICD-10 terms and PheCodes for UK Biobank hospital electronic health records

    Language:Python29113

  • justin13601/ACES

    ACES: Automatic Cohort Extraction System for Event-Streams

    Language:Python253721

  • philipdarke/ukbb-ehr-data

    Prepare UK Biobank Electronic Health Record data for research

    Language:R25244

  • cosmasnyairo/Blockchain-EHR

    Four Year Project: Electronic Health Records using Blockchain

    Language:Dart245013
  • medgan-tips

    sylvaincom/medgan-tips

    [Python] Additional works on Edward Choi's medGAN (generative adversarial network for electronic health records). In particular: boosting the prediction score using dataset augmentation.

    Language:Jupyter Notebook21204

  • hms-dbmi/EHRtemporalVariability

    R package for delineating temporal dataset shifts in Eletronic Health Records

    Language:HTML16708

  • medkit-lib/medkit

    Toolkit for a learning health system

    Language:Python154159

  • JuliaHealth/juliahealth.github.io

    Website for the JuliaHealth organization (powered by Franklin.jl).

    Language:Julia1417159

  • tong-wu-umn/ME2Vec

    Source code of ME2Vec.

    Language:Python13113

  • sparkfish/scanray

    Scanner event monitor for web-based scanning of PDF417 barcodes in healthcare setting

    Language:TypeScript12601

  • levrex/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 Notebook11356

  • nlp-pucrs/cci-regression

    Charlson Comorbidity Index Regression using Clinical Notes

    Language:Jupyter Notebook10423

  • Netherlands-Cancer-Institute/RadioLOGIC_NLP

    RadioLOGIC: A general model for processing unstructured reports and making decisions in healthcare

    Language:Python6202

  • anondo1969/FedSepsis

    Repository for the journal article, 'FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices', Mahbub Ul Alam, Rahim Rahmani. Sensors 23, no. 2: 970, https://doi.org/10.3390/s23020970.

    Language:Jupyter Notebook5301

  • cltl/a-proof-zonmw

    Detecting the functioning level of a patient from a free-text clinical note in Dutch.

    Language:Jupyter Notebook51004

  • marksendak/constellation

    Time series joins to identify sequence of related events

    Language:R5583

  • nedap/mdpi2021-textgen

    Source code for the paper "Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records" in Future Internet (2021).

    Language:Python5420

  • thmccoy/CQH-Dimensional-Phenotyper

    Language:Python5103
  • EHRsourceVariability

    carsaesi/EHRsourceVariability

    Measuring and visualizing biomedical data variability/heterogeneity across data sources

    Language:R4000

  • NHLI-Respiratory-Epi/SNOMED-CT-codelists

    How to: create SNOMED CT codelists

    Language:Stata4000

  • philipdarke/ehr-codesets

    Code sets for Electronic Health Record research

    4201

  • HKU-MedAI/MulT-EHR

    [Neural Networks'24] Multi-task Heterogeneous Graph Learning on Electronic Health Records

    Language:Jupyter Notebook310

  • Ting-DS/AI-for-Healthcare-Data

    Clinical Analysis and Modeling for EHR data, 2D and 3D medical imaging data, applying Pydicom, Pytorch, Keras-tensorflow, with medical and healthcare regulations and standards, for FDA submission

    Language:Jupyter Notebook3101