Synthetic Patient Population Simulator
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Updated
Aug 23, 2024 - Java
Synthetic Patient Population Simulator
More realistic synthetic medication data.
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
Synthetic health dataset generator
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.
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.
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.
Semantic web representation for the Synthea.
Test Data Created Using Synthea
Evaluation of the PhenoMan API with synthetic FHIR data
This healthcare analytics project uses SQL queries to extract insights from patient data, encounters data, and etc.
A dockerized healthcare data generator based on Synthea
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.
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