Towards a new classification of stable phase schizophrenia into major and simple neuro-cognitive psychosis: Results of unsupervised machine learning analysis.

Journal: Journal of evaluation in clinical practice
PMID: 29790237

Abstract

RATIONALE: Deficit schizophrenia, as defined by the Schedule for Deficit Syndrome, may represent a distinct diagnostic class defined by neurocognitive impairments coupled with changes in IgA/IgM responses to tryptophan catabolites (TRYCATs). Adequate classifications should be based on supervised and unsupervised learning rather than on consensus criteria.

Authors

  • Buranee Kanchanatawan
    Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
  • Sira Sriswasdi
    Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
  • Supaksorn Thika
    Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
  • Drozdstoy Stoyanov
    Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria.
  • Sunee Sirivichayakul
    Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
  • AndrĂ© F Carvalho
    Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
  • Michel Geffard
    IDRPHT, Research Department, Talence, France.
  • Michael Maes
    Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

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