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Generating realistic synthetic patient cohorts: enforcing statistical distributions, correlations, and logical constraints
Ahmad Nader Fasseeh, Rasha Ashmawy, Rok Hren, Kareem ElFass, Attila Imre, Bertalan Németh, Dávid Nagy, Balázs Nagy, Zoltán Vokó
Izvirni znanstveni članek
Oznake: zdravstvo;zdravstvena ekonomija;zdravstvena informatika;sintetični podatki;healthcare;health economics;health informatics;synthetic data;
Large, high-quality patient datasets are essential for applications like economic modeling and patient simulation. However, real-world data is often inaccessible or incomplete. Synthetic patient data offers an alternative, and current methods often fail to preserve clinical plausibility, real-world ...
Leto: 2025 Vir: Fakulteta za matematiko in fiziko (UL FMF)
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