Predicting Polysomnography‑derived Sleep Efficiency and Total Sleep Time Using Clinical Questionnaires: A Machine Learning Approach

Clinical Psychopharmacology and Neuroscience 2026 Open access

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Authors: Ju-Wan Kim, Ju‐Wan Kim, Y.H. Kim, Inyong Jeong, Taewon Jung, Geesoo Hong, Dae-Kwang Kim, Hee‐Ju Kang, Seunghyong Ryu, Il‐Seon Shin, Sung‐Wan Kim, Min Jhon
+3 more HwaMin Lee�, Jae-Min Kim, Jae-Min Kim
DOI: 10.9758/cpn.25.1354
Cited by: 0

Abstract

Ju-Wan Kim, Yeongmin Kim, Inyong Jeong, Taewon Jung, Geesoo Hong, Dae-Kwang Kim, Hee-Ju Kang, Seunghyong Ryu, Il-Seon Shin, Sung-Wan Kim, Min Jhon, Hwamin Lee, Jae-Min Kim. Clin Psychopharmacol Neurosci -0001;0:. https://doi.org/10.9758/cpn.25.1354

Fields of Study & Subjects

Sleep and related disorders Obstructive Sleep Apnea Research Sleep and Work-Related Fatigue

Publication details

Journal / source
Clinical Psychopharmacology and Neuroscience
Publication date
19 January 2026
Language
EN