Synthetic Patient Population Simulator
-
Updated
May 31, 2024 - Java
Synthetic Patient Population Simulator
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.
This healthcare analytics project uses SQL queries to extract insights from patient data, encounters data, and etc.
Generate realistic and complete synthetic test data for US Core v3.1.0
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 be used for experimental purposes only. It does not provide support for real world cases and does not replace advice from medical professionals.
Semantic web representation for the Synthea.
Test Data Created Using Synthea
A deep learning library for Electronic Health Record (EHR) data
More realistic synthetic medication data.
A deep learning library for Electronic Health Record (EHR) data
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.
Generate Synthea data from a docker container
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
Evaluation of the PhenoMan API with synthetic FHIR data
Synthetic health dataset generator
Add a description, image, and links to the synthea topic page so that developers can more easily learn about it.
To associate your repository with the synthea topic, visit your repo's landing page and select "manage topics."