Synthetic Patient Population Simulator
Generate realistic and complete synthetic test data for US Core v3.1.0
This healthcare analytics project uses SQL queries to extract insights from patient data, encounters data, and etc.
A practical guide for a quick start in building learning health systems (LHS) units.
A configurable synthetic patient generator which delivers and centralizes information on a repetitional continuous basis via the message broker technology and through a healthcare integration engine
#大语言模型#The purpose of this application is to test LLM-generated interpretations of medical observations. The explanations are generated fully automatically by a large language model. This application should ...
Examples of exploring synthetic healthcare data from the Agency for Healthcare Research and Quality in the United States Department of Health and Human Services, and MITRE Corporation.
#计算机科学#The Patient Pathway Extractor is an application to transform patient medical data into a compact machine processable representation that can be used for machine learning and deep learning tasks.
Semantic web representation for the Synthea.
Create a simulation patient population using Synthea and ETL it into the OMOP Common Data Model
#计算机科学#A deep learning library for Electronic Health Record (EHR) data
A dockerized healthcare data generator based on Synthea
docker image for generating synthetic clinical data using synthea
This repository highlights course work completed during Population Health Informatics course in Spring 2025. It is a comprehensive part of final project submission.