Exploring nationwide patterns of sleep problems from late adolescence to adulthood using machine learning.

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Bibliographic Details
Title: Exploring nationwide patterns of sleep problems from late adolescence to adulthood using machine learning.
Authors: Zucco AG; Copenhagen Health Complexity Center, Department of Public Health, University of Copenhagen, Copenhagen, Denmark., Drews HJ; Copenhagen Health Complexity Center, Department of Public Health, University of Copenhagen, Copenhagen, Denmark., Uleman JF; Copenhagen Health Complexity Center, Department of Public Health, University of Copenhagen, Copenhagen, Denmark., Bhatt S; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, London, UK., Rod NH; Copenhagen Health Complexity Center, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Source: Science advances [Sci Adv] 2025 Sep 26; Vol. 11 (39), pp. eadw1227. Date of Electronic Publication: 2025 Sep 24.
Publication Type: Journal Article
Journal Info: Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 101653440 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2375-2548 (Electronic) Linking ISSN: 23752548 NLM ISO Abbreviation: Sci Adv Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2375-2548
DOI:10.1126/sciadv.adw1227