Generate realistic and complete synthetic test data for US Core v3.1.0
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Updated
Jan 10, 2024 - Ruby
Generate realistic and complete synthetic test data for US Core v3.1.0
Synthea-inspired hybrid synthetic patient record generator — Gaussian copula + clinical modules, trained on Turkish pristine-healthy EHR cohorts. Outputs CSV + FHIR R4 (LOINC/SNOMED/ICD-10/RxNorm). Includes a Tauri desktop app for non-coders.
A Python library for generating synthetic patients with realistic clinical conditions and simulating dietary interventions. Built for clinical nutrition researchers and dietetics educators.
Drug repositioning and synthetic patient DSS for pediatric ALL · TÜBİTAK 1001 · 123E383
Drug repositioning and synthetic patient DSS for pediatric ALL · TÜBİTAK 1001 · 123E383
AI-powered decision support system for rehabilitation robotics and gait analysis
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