Abnormal Child Behavior in primary school students: A Bayesian network analysis.

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Bibliographic Details
Title: Abnormal Child Behavior in primary school students: A Bayesian network analysis.
Authors: Till AC; Chair of Artificial Intelligence and Digital Medicine, Department of Neuroscience, Faculty of Medicine, University of Mons, avenue du Champ de Mars 6, 7000 Mons, Belgium., Henry TR; Department of Psychology and School of Data Science, University of Virginia, Charlottesville, VA, United States of America., Scutari M; Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), 6900 Lugano, Switzerland., Briganti G; Chair of Artificial Intelligence and Digital Medicine, Department of Neuroscience, Faculty of Medicine, University of Mons, avenue du Champ de Mars 6, 7000 Mons, Belgium; Département des Sciences Cliniques, Faculté de Médecine, Université de Liège, avenue Hippocrate 13, 4000 Liège, Belgium; Laboratoire de Psychologie Médicale, Faculté de Médecine, Université libre de Bruxelles, route de Lennik 808, 1070 Brussels, Belgium.
Source: L'Encephale [Encephale] 2026 Jun; Vol. 52 (3), pp. 266-273. Date of Electronic Publication: 2025 Dec 19.
Publication Type: Journal Article
Journal Info: Publisher: Masson Country of Publication: France NLM ID: 7505643 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 0013-7006 (Print) Linking ISSN: 00137006 NLM ISO Abbreviation: Encephale Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:0013-7006
DOI:10.1016/j.encep.2025.09.006