The Actigraphy-Based Identification of Premorbid Latent Liability of Schizophrenia and Bipolar Disorder

The Actigraphy-Based Identification of Premorbid Latent Liability of Schizophrenia and Bipolar Disorder

(1) Background and Goal: Several studies have investigated the association of sleep, diurnal patterns, and circadian rhythms with the presence and with the risk states of mental illnesses such as schizophrenia and bipolar disorder. The goal of our study was to examine actigraphic measures to identif...

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Bibliographic Details
Main Authors: Ádám Nagy, József Dombi, Martin Patrik Fülep, Emese Rudics, Emőke Adrienn Hompoth, Zoltán Szabó, András Dér, András Búzás, Zsolt János Viharos, Anh Tuan Hoang, Bálint Maczák, Gergely Vadai, Zoltán Gingl, Szandra László, Vilmos Bilicki, István Szendi
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
machine learning
actigraphy
bipolar disorder
schizophrenia
linear regression
light gradient boost
Online Access:https://www.mdpi.com/1424-8220/23/2/958

Internet

https://www.mdpi.com/1424-8220/23/2/958

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