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Detector probabilístico de eventos de respiración a nivel experto para la fenotipificación de la apnea del sueño
Magnus Ruud Kjaer1,2,3, Umaer Hanif4, Andreas Brink-Kjaer5
1Department of Health Technology, Technical University of Denmark, Kgs, Lyngby, Denmark. magnusrk@stanford.edu.
Un nuevo modelo de aprendizaje profundo detecta y clasifica automáticamente eventos de respiración con trastornos del sueño, como apneas obstructivas e hipopneas. Este enfoque de "apnotyping" mejora la precisión diagnóstica y el tratamiento personalizado para obtener mejores resultados en los pacientes.
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