Synthetic Patient Population Simulator
翻译 - 综合患者人口模拟器
Generate realistic and complete synthetic test data for US Core v3.1.0
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
A practical guide for a quick start in building learning health systems (LHS) units.
#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.
Semantic web representation for the Synthea.
This healthcare analytics project uses SQL queries to extract insights from patient data, encounters data, and etc.
#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.
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
Sample ML workflow in Argo
A project that uses SQL to analyze health data from the Synthea dataset. It looks at common health conditions, resource use, and provides insights for better health management.
Evaluation of the PhenoMan API with synthetic FHIR data