medical-informatics

There are 138 repositories under medical-informatics topic.

  • openemr

    openemr/openemr

    The most popular open source electronic health records and medical practice management solution.

    Language:PHP3.2k1372.6k2.2k
  • albarqouni/Deep-Learning-for-Medical-Applications

    Deep Learning Papers on Medical Image Analysis

    Language:TeX1.6k1482500
  • hospitalrun

    HospitalRun/hospitalrun

    Monorepo that holds all of HospitalRun's v2 projects.

    Language:JavaScript9255162340
  • bioinformatics-ua/dicoogle

    Dicoogle - Open Source PACS

    Language:Java45038256133
  • Georgetown-IR-Lab/QuickUMLS

    System for Medical Concept Extraction and Linking

    Language:Python381167495
  • abachaa/MedQuAD

    Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

  • caufieldjh/awesome-bioie

    šŸ§« A curated list of resources relevant to doing Biomedical Information Extraction (including BioNLP)

  • abachaa/Existing-Medical-QA-Datasets

    Multimodal Question Answering in the Medical Domain: A summary of Existing Datasets and Systems

  • medmcqa/medmcqa

    A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.

    Language:Jupyter Notebook1746521
  • GaNDLF

    mlcommons/GaNDLF

    A generalizable application framework for segmentation, regression, and classification using PyTorch

    Language:Python166932080
  • yuhaozhang/summarize-radiology-findings

    Code and pretrained model for paper "Learning to Summarize Radiology Findings"

    Language:Python799825
  • cnellington/Contextualized

    An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.

    Language:Python6749912
  • mjpyeon/pytorch-dicom-classification

    Code for analyzing medical images saved as .dicom files

    Language:Python603119
  • zonghui0228/BioMedical-NLP-corpus

    Biomedical NLP Corpus or Datasets.

  • cair/TextUnderstandingTsetlinMachine

    Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications

    Language:Cuda4914210
  • fhirpack/fhirpack

    FHIR Python Analysis Client and Kit (FHIRPACK) is a general purpose FHIR client that simplifies the access, analysis and representation of FHIR and EHR data using PANDAS, an ETL philosophy and a functional syntax. It was initially developed at the IKIM and HDDBS in Germany. Read more at https://zenodo.org/record/8006589

    Language:Python48203
  • PsPM

    bachlab/PsPM

    A matlab suite for Psycho-Physiological Modelling

    Language:MATLAB45537811
  • JZK00/Radiomics-research-by-using-Python

    Radiomics (here mainly means hand-crafted based radiomics) contains data acquire, ROI segmentation, feature extraction, feature selection, machine learning modeling, and stastical analysis.

    Language:Jupyter Notebook41205
  • nicoladileo/NephroDoctor

    NephroDoctor: A simple Medical Expert System written in Prolog

    Language:Prolog30302
  • abachaa/MEDIQA2021

    Language:Python21404
  • yala/OncoText

    OncoText is an information extraction service for breast pathology reports. It supports over 20 categories including DCIS, includes pretrained models, and supports flexible addition of new categories, new training data, and parsing new reports.

    Language:Python207125
  • dhchenx/umls-graph

    Build a medical knowledge graph based on Unified Language Medical System (UMLS)

    Language:Python18202
  • frankkramer-lab/GERNERMED

    GERNERMED is the first open neural NER model for medical entities designed for German data.

    Language:Python17316
  • yhzbit/CNMER

    CNMER: A model for Chinese medical named entity extraction

    Language:Python17209
  • samyachour/EKG_Analysis

    EKG Analysis code for the MI3 intern group at CHOC Children's

    Language:Python167113
  • frankkramer-lab/GPTNERMED

    GPTNERMED is a language model-generated, synthetic dataset and an open neural NER model for medical entities designed for German data.

    Language:Python15211
  • scossin/IAMsystem

    A fast dictionary-based approach for semantic annotation with approximate string matching algorithms

    Language:Java154152
  • SuperBruceJia/MedicalNER

    An implementation of several models (BiLSTM-CRF, BiLSTM-CNN, BiLSTM-BiLSTM) for Medical Named Entity Recognition (NER)

    Language:Jupyter Notebook15322
  • BMDSoftware/dicoogle-ipfs-storage

    This is a Dicoogle plugin to support the storage of files over IPFS.

    Language:Java14514
  • ineelhere/clintrialx

    R package to fetch and explore clinical trials data from freely available registries. Fetch data in bulk, customize data and build comprehensive html reports. Currently, it supports the ClinicalTrials.gov registry and CTTI AACT (Access to Aggregate Content of ClinicalTrials.gov).

    Language:R14200
  • Zainul-Code/Medich-App

    Medich is an application that raises the problem of satisfaction related to BPJS, especially in the lower classes, with Medich being able to solve all these problems. Medich has a Donation feature that will be very useful for the Community

    Language:Kotlin14312
  • erictleung/jamia-markdown-template

    :closed_book: Unofficial Journal of American Medical Informatics Association (JAMIA) Markdown Journal Article Template

    Language:TeX12205
  • rahulbhatia-rb/WEB-BASED-DICOM-VIEWER

    A web based dicom viewer , based on the concept of displaying a file from the local system, along with different characteristic features of the image.

    Language:JavaScript12215
  • vitaliy-ostapchuk93/disease-pattern-miner

    Disease Pattern Miner is a free, open-source mining framework for interactively discovering sequential disease patterns in medical health record datasets.

    Language:Java11108
  • frideosapps/bloodpressure

    An example of a medical app built with Flutter for the classification of the arterial blood pressure.

    Language:Dart10217
  • i6092467/pediatric-appendicitis-ml

    Using ML to predict the diagnosis, management, and severity of pediatric appendicitis

    Language:R9201