Topic: electronic-health-records Goto Github
Some thing interesting about electronic-health-records
Some thing interesting about electronic-health-records
electronic-health-records,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.
User: abhilampard
electronic-health-records,A Secure MERN Application for Electronic Health Records
User: abhishekverma276
electronic-health-records,SammyCatz_AE_2045.EV-E.e.d1t1.0N OCR mL EHR maybe kinda
User: allenhurff
electronic-health-records,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.
User: anondo1969
electronic-health-records,Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Organization: barneslab
electronic-health-records,Open Medical Data
Organization: boston-aim
electronic-health-records,Measuring and visualizing biomedical data variability/heterogeneity across data sources
User: carsaesi
electronic-health-records,An experiment in creating a (mostly) formally verified, domain specific markup language for electronic patient records and patient modeling.
User: chgibb
electronic-health-records,Paper published in IEEE 33rd International Symposium on Computer Based Medical Systems (CBMS)
User: clementinojr
electronic-health-records,Detecting the functioning level of a patient from a free-text clinical note in Dutch.
Organization: cltl
electronic-health-records,Building data processing pipelines for documents processing with NLP using Apache NiFi and related services
Organization: cogstack
Home Page: https://hub.docker.com/r/cogstacksystems/cogstack-nifi/
electronic-health-records,Medical Concept Annotation Tool
Organization: cogstack
electronic-health-records,General tutorials for the setup and use of MedCAT.
Organization: cogstack
electronic-health-records,Four Year Project: Electronic Health Records using Blockchain
User: cosmasnyairo
electronic-health-records,A customizable pipeline for data extraction from MIMIC-IV.
Organization: healthylaife
electronic-health-records,Library and CLI for randomly generating medical data like you might get out of an Electronic Health Records (EHR) system
Organization: hicservices
electronic-health-records,R package for delineating temporal dataset shifts in Eletronic Health Records
Organization: hms-dbmi
electronic-health-records,Website for the JuliaHealth organization (powered by Franklin.jl).
Organization: juliahealth
Home Page: https://juliahealth.org
electronic-health-records,Shiny app for making clinical codelists
User: julianmatthewman
Home Page: https://julian-matthewman.shinyapps.io/codelisttools/
electronic-health-records,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.
User: levrex
electronic-health-records,Code for the paper: Multi-Label Clinical Time-Series Generation via Conditional GAN (IEEE TKDE)
User: luchang-cs
Home Page: https://ieeexplore.ieee.org/document/10236560
electronic-health-records,Time series joins to identify sequence of related events
User: marksendak
electronic-health-records,Code for an analysis of the association of lipid regulating agents (e.g. statins) with incidence of dementia outcomes
User: mcguinlu
electronic-health-records,Toolkit for a learning health system
Organization: medkit-lib
Home Page: https://medkit.readthedocs.io
electronic-health-records,FlexIble Data-Driven pipeLinE โ a preprocessing pipeline that transforms structured EHR data into feature vectors to be used with ML algorithms. https://doi.org/10.1093/jamia/ocaa139
Organization: mld3
Home Page: http://tiny.cc/get_FIDDLE
electronic-health-records,Predicting Acute Graft-versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data from Electronic Health Records (Tang et al.), JCO Clinical Cancer Informatics 2020. https://doi.org/10.1200/CCI.19.00105
Organization: mld3
electronic-health-records,An Open Source Hospital Management System
Organization: mylikita-health
Home Page: https://sudoemr.com
electronic-health-records,Source code for the paper "Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records" in Future Internet (2021).
Organization: nedap
electronic-health-records,RadioLOGIC: A general model for processing unstructured reports and making decisions in healthcare
Organization: netherlands-cancer-institute
electronic-health-records,How to: find acute exacerbation of COPD events in UK primary care electronic healthcare records
Organization: nhli-respiratory-epi
electronic-health-records,How to: create drug codelists for recorded prescriptions
Organization: nhli-respiratory-epi
electronic-health-records,How to: create SNOMED CT codelists
Organization: nhli-respiratory-epi
electronic-health-records,Approximated missing values in noisy, heterogeneous electronic health records by low rank modeling.
User: nikunj-gupta
electronic-health-records,Charlson Comorbidity Index Regression using Clinical Notes
Organization: nlp-pucrs
Home Page: http://www.inf.pucrs.br/ia-saude/
electronic-health-records,An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
Organization: nyukat
Home Page: https://www.nature.com/articles/s41746-021-00453-0
electronic-health-records,Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimerโs Disease"
Organization: nyumedml
electronic-health-records,Code sets for Electronic Health Record research
User: philipdarke
electronic-health-records,Prepare UK Biobank Electronic Health Record data for research
User: philipdarke
electronic-health-records,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.
User: premchand9985
electronic-health-records,FEMR (Framework for Electronic Medical Records) provides tooling for large-scale, self-supervised learning using electronic health records
Organization: som-shahlab
electronic-health-records,PulseConnect: Simplifying Blood Donation. Connects donors, recipients, and blood banks seamlessly. Register, request, or organize donation camps effortlessly. Secure authentication ensures trust. Join us in saving lives.
User: soumik-saha
Home Page: https://pulseconnect-soumiksaha.vercel.app/
electronic-health-records,Scanner event monitor for web-based scanning of PDF417 barcodes in healthcare setting
Organization: sparkfish
electronic-health-records,Functions to map between ICD-10 terms and PheCodes for UK Biobank hospital electronic health records
User: spiros
electronic-health-records,Backend for a distributed electronic health records system
User: st3v3nmw
electronic-health-records,Frontend for a distributed electronic health records system
User: st3v3nmw
electronic-health-records,[Python] Additional works on Edward Choi's medGAN (generative adversarial network for electronic health records). In particular: boosting the prediction score using dataset augmentation.
User: sylvaincom
electronic-health-records,
User: thmccoy
electronic-health-records,Source code of ME2Vec.
User: tong-wu-umn
electronic-health-records,The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning" (TheWebConf 2023).
User: yangnianzu0515
electronic-health-records,EHR(Electronics Health Records system) project to learn Software Engineering at Yonsei University
User: yeong-hwan
Home Page: https://cs.yonsei.ac.kr/
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