Application of Machine Learning Methods to Ambulatory Circadian Monitoring (ACM) for Discriminating Sleep and Circadian Disorders

The present study proposes a classification model for the differential diagnosis of primary insomnia (PI) and delayed sleep phase disorder (DSPD), applying machine learning methods to circadian parameters obtained from ambulatory circadian monitoring (ACM). Nineteen healthy controls and 242 patients...

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Bibliografski detalji
Izdano u:Front Neurosci
Glavni autori: Rodriguez-Morilla, Beatriz, Estivill, Eduard, Estivill-Domènech, Carla, Albares, Javier, Segarra, Francisco, Correa, Angel, Campos, Manuel, Rol, Maria Angeles, Madrid, Juan Antonio
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2019
Teme:
Neuroscience
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6916421/
https://ncbi.nlm.nih.gov/pubmed/31920488
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2019.01318
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