Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine.

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Title: Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine.
Authors: López Steinmetz LC; Inverse Modeling and Machine Learning, Chair of Uncertainty, Institute of Software Engineering and Theoretical Computer Science, Faculty IV Electrical Engineering and Computer Science, Technische Universität Berlin, Berlin, Germany.; Instituto de Investigaciones Psicológicas (IIPsi), Facultad de Psicología, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional de Córdoba (UNC), Córdoba, Argentina., Sison M; Berlin Center for Advanced Neuroimaging (BCAN), Charité - Universitätsmedizin Berlin, Berlin, Germany., Zhumagambetov R; Working Group 8.44 Machine Learning and Uncertainty, Mathematical Modelling and Data Analysis Department, Physikalisch-Technische Bundesanstalt Braunschweig und Berlin, Berlin, Germany., Godoy JC; Instituto de Investigaciones Psicológicas (IIPsi), Facultad de Psicología, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional de Córdoba (UNC), Córdoba, Argentina., Haufe S; Inverse Modeling and Machine Learning, Chair of Uncertainty, Institute of Software Engineering and Theoretical Computer Science, Faculty IV Electrical Engineering and Computer Science, Technische Universität Berlin, Berlin, Germany.; Berlin Center for Advanced Neuroimaging (BCAN), Charité - Universitätsmedizin Berlin, Berlin, Germany.; Working Group 8.44 Machine Learning and Uncertainty, Mathematical Modelling and Data Analysis Department, Physikalisch-Technische Bundesanstalt Braunschweig und Berlin, Berlin, Germany.; Institute for Medical Informatics, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Source: Frontiers in psychiatry [Front Psychiatry] 2024 Apr 16; Vol. 15, pp. 1376784. Date of Electronic Publication: 2024 Apr 16 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101545006 Publication Model: eCollection Cited Medium: Print ISSN: 1664-0640 (Print) Linking ISSN: 16640640 NLM ISO Abbreviation: Front Psychiatry Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1664-0640
DOI:10.3389/fpsyt.2024.1376784