The association between clinical, sociodemographic, familial, and environmental factors and treatment resistance in schizophrenia: A machine-learning-based approach.

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Title: The association between clinical, sociodemographic, familial, and environmental factors and treatment resistance in schizophrenia: A machine-learning-based approach.
Authors: van Hooijdonk CFM; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), University of Maastricht, Maastricht, the Netherlands; Rivierduinen, Institute for Mental Health Care, Leiden, the Netherlands. Electronic address: C.Hooijdonkvan@rivierduinen.nl., van der Pluijm M; Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, the Netherlands; Department of Psychiatry, Amsterdam UMC, University of Amsterdam, the Netherlands., de Vries BM; Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, the Netherlands., Cysouw M; Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, the Netherlands., Alizadeh BZ; Rob Giel Research Center, University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Groningen, the Netherlands; Department of Epidemiology, University Medical Center Groningen, Groningen, the Netherlands., Simons CJP; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), University of Maastricht, Maastricht, the Netherlands; GGzE, Institute for Mental Health Care, Eindhoven, the Netherlands., van Amelsvoort TAMJ; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), University of Maastricht, Maastricht, the Netherlands., Booij J; Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, the Netherlands., Selten JP; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), University of Maastricht, Maastricht, the Netherlands; Rivierduinen, Institute for Mental Health Care, Leiden, the Netherlands., de Haan L; Department of Psychiatry, Amsterdam UMC, University of Amsterdam, the Netherlands., Schirmbeck F; Department of Psychiatry, Amsterdam UMC, University of Amsterdam, the Netherlands., van de Giessen E; Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, the Netherlands; Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands.
Source: Schizophrenia research [Schizophr Res] 2023 Dec; Vol. 262, pp. 132-141. Date of Electronic Publication: 2023 Nov 09.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Publisher B. V Country of Publication: Netherlands NLM ID: 8804207 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2509 (Electronic) Linking ISSN: 09209964 NLM ISO Abbreviation: Schizophr Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1573-2509
DOI:10.1016/j.schres.2023.10.030