Topic: ehr-data Goto Github
Some thing interesting about ehr-data
Some thing interesting about ehr-data
ehr-data,CARE-ML: Predicting the use of restraint on psychiatric inpatients using EHRs and ML. Developed by sarakolding and signekb for their Master's Thesis.
Organization: aarhus-psychiatry-research
ehr-data,Built a regression model that predicts the expected days of hospitalization time and an uncertainty range estimation.
User: aaryapatel007
ehr-data,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
ehr-data,omopcept : an R package to access OMOP conCEPTs (no cons!) and flexible tidyverse compatible R functions for querying and visualising.
User: andysouth
ehr-data,This is implementation of my Masters thesis work and aims at predicting the patient mortality from the MIMIC-III v1.4 Database
User: ashutosh27ind
ehr-data,The code is used for my capstone which is about the user acceptability of blockchain technology to exchange EHR. For the survey analysis I used PLS SEM
User: baltruschat-l
ehr-data,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.
User: brunof99
Home Page: https://doi.org/10.13026/dp1f-ex47
ehr-data,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.
Organization: bsn-si
Home Page: https://ipehr.org/
ehr-data,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
User: carlosuziel
ehr-data,R package for cleaning anthropometric (height and weight) data from electronic health record systems.
User: carriedaymont
ehr-data,A deep learning project predicting hyperinflammatory syndrome among COVID-19 patients using EHR data.
Organization: cdcai
ehr-data,We included the code to obtain the results reported in the study below:
User: cesarcaraballoc
Home Page: https://www.medrxiv.org/content/10.1101/2022.07.07.22277369v1
ehr-data,A software toolkit for the interconversion of standard data models for phenotypic data
Organization: cnag-biomedical-informatics
ehr-data,CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks
Organization: cumc-dbmi
ehr-data,Data challenge from Holmusk to compare the risk of bleeding between two treatments using EHR extracted data.
User: eileen-b
ehr-data,This repo contains demonstration code to illustrate the use of the FIHR standard for healthcare data, developed by the HL7 organisation.
Organization: endava
ehr-data,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.
User: janschneida
ehr-data,This pilot project deploys a supplemental OMOP table to map external measures of rurality (RUCC and RUCA).
User: jerrodanzalone
ehr-data,BERT style transformer model on CMS synthetic EHR data for diagnosis and procedure prediction in PyTorch.
User: jordandeklerk
ehr-data,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
ehr-data,Pipeline of Data Extraction, Preprocessing, Representation, and Training for MIMIC-III
User: linzhenyuyuchen
Home Page: https://www.cnblogs.com/linzhenyu/tag/MIMIC/
ehr-data,Missing data imputation for longitudinal multi-variable EHR data. Paper in JAMIA.
User: luoyuanlab
ehr-data,Nature Medicine paper. A Multidimensional Precision Medicine Approach for Autism Subtype Identification.
User: luoyuanlab
ehr-data,Collection of bio-medical and clinical ner models in spacy, stanza, flair with some utility files
User: magesh-technovator
ehr-data,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.
User: maitreevaria
ehr-data,OpenAPI which maps custom EHRs into FHIR R4 Patient and Observation resources. Other resources were not implemented (yet).
User: matjazbravc
ehr-data,OpenAPI which maps custom EHRs into FHIR R4 Patient and Observation resources. Other resources were not implemented (yet).
User: matjazbravc
ehr-data,The monolithic server-side repository of EHRoute, a secure Electronic Health Records (EHR) storage and sharing solution
User: muizmahdi
ehr-data,This project aims to make predictions of stroke cases based on simple health data. Supervised machine learning algorithm was used after processing and analyzing the data. The model has predicted Stroke cases with 92.00% of sensitivity.
User: omaralkousa
ehr-data,attribute-based access control implementation for EHRs
User: opensaucerer
ehr-data,HealthDatum is an electronic health record system that provides easy means of managing clinical data.
User: osilaja78
ehr-data,Official implementation of TACCO (Task-guided Co-clustering).
User: pericleshat
ehr-data,In this project, we will create a deep learning model trained on EHR data (Electronic Health Records) to find suitable patients for testing a new diabetes drug.
User: pranath
ehr-data,A Electronic Health Care System is aimed digitalizing the health care by providing the hospital services in online mode.
User: praneethkanchanakuntla
ehr-data,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
ehr-data,EHR DREAM Challenge: Patient Mortality Prediction Submission. "moore" team submission
User: ptogias
ehr-data,[BIG Summer 2022] ABP Imputation with EHR medication data is the second version of the ABP Imputer model.
User: simonlee711
ehr-data,Deep Learning Methods for Chest X-ray Classification
User: steve303
ehr-data,Predict patients who are likely to be in the hospital for at-least 5-7 days
User: sulagnag
ehr-data,Electronic Health Record Analysis using SQLite
User: sxtforreal
ehr-data,Regression Model to predict the estimated hospitalisation for a patient to test a new drug for Diabetes using EHR data
User: vgees
ehr-data,COVID-19 EHR data analysis pipeline
User: yhzhu99
Home Page: https://pyehr.netlify.app
ehr-data,COVID-19 EHR Benchmark - Online Platform
User: yhzhu99
Home Page: https://pyehr.netlify.app/
ehr-data,KDD2020 paper; Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder
User: yinchangchang
ehr-data,"Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data" MLHC 2017
User: yujiabao
Home Page: https://proceedings.mlr.press/v68/bao17a/bao17a.pdf
ehr-data,Used machine learning in R to assess individual variables involved in the intra-operative pathology consultation process.
User: zacksaw
ehr-data,Lecture slides on Electronic Health Record Data Quality
User: zimolzak
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