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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Detaylı Bibliyografya
Yayımlandı:Front Neurosci
Asıl Yazarlar: Rodriguez-Morilla, Beatriz, Estivill, Eduard, Estivill-Domènech, Carla, Albares, Javier, Segarra, Francisco, Correa, Angel, Campos, Manuel, Rol, Maria Angeles, Madrid, Juan Antonio
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Frontiers Media S.A. 2019
Konular:
Neuroscience
Online Erişim: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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