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Modelos ocultos de Markov generativos profundos para la generación de datos sintéticos de pacientes: un enfoque

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
Resumen

No abstract available in PubMed .

Palabras clave:
aprendizaje profundoregistros de salud electrónicosmodelos ocultos de MarkovIA con preservación de la privacidadgeneración de datos sintéticosmodelado temporal

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