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Deep generative hidden Markov models for synthetic patient data generation: a novel approach for medical AI research

Mohammadreza Momenzadeh1,2, Atiyeh Oshaghi3

  • 1Department of Artificial Intelligence in Medicine, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran. momenzadeh.mr@gmail.com.

BMC Medical Informatics and Decision Making
|February 20, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Deep learningElectronic health recordsHidden Markov ModelsPrivacy-Preserving AISynthetic data generationTemporal modeling

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