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Modelado jerárquico de Markov calentado para sintetizar datos de actividad de dispositivos portátiles

Darren Fang¹, Dan Ruan^1,2

¹Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA 90095, United States.

Computational and structural biotechnology journal

|January 19, 2026

Resumen

Este estudio presenta un novedoso Modelo Jerárquico de Markov Calentado (HHMM) para generar datos de salud portátiles sintéticos realistas. El marco HHMM preserva las propiedades estadísticas, lo que permite el intercambio de datos que preserva la privacidad y la modelización avanzada en la investigación de precisión en salud.

Palabras clave:

cadena de Markov de tiempo continuo alineación de distribución modelo de Markov jerárquico muestreo irregular Metropolis-Hastings síntesis de datos portátiles

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