Predictors of psychotic experiences among adolescents with obsessive-compulsive symptoms: A data-driven machine learning approach.

Journal: PCN reports : psychiatry and clinical neurosciences
Published Date:

Abstract

AIM: Prediction of future psychosis in individuals with obsessive and compulsive (OC) symptoms is crucial for treatment choice, but only a few predictors have been revealed. Although OC symptoms and psychotic experiences (PEs) are common in adolescence, no studies have revealed the predictors of subsequent PEs in adolescents with OC symptoms. We aimed to explore the predictors for subsequent PEs among adolescents with OC symptoms, using a data-driven machine-learning approach on an adolescent cohort.

Authors

  • Yutaka Sawai
    Department of Neuropsychiatry Graduate School of Medicine, The University of Tokyo Tokyo Japan.
  • Riki Tanaka
    Department of Neuropsychiatry Graduate School of Medicine, The University of Tokyo Tokyo Japan.
  • Rin Minami
    Department of Neuropsychiatry Graduate School of Medicine, The University of Tokyo Tokyo Japan.
  • Daiki Nagaoka
    Department of Neuropsychiatry Graduate School of Medicine, The University of Tokyo Tokyo Japan.
  • Akito Uno
    Department of Neuropsychiatry Graduate School of Medicine, The University of Tokyo Tokyo Japan.
  • Ayako Okuma
    Department of Neuropsychiatry Graduate School of Medicine, The University of Tokyo Tokyo Japan.
  • Syudo Yamasaki
    Research Center for Social Science & Medicine Tokyo Metropolitan Institute of Medical Science Tokyo Japan.
  • Mitsuhiro Miyashita
    Research Center for Social Science & Medicine Tokyo Metropolitan Institute of Medical Science Tokyo Japan.
  • Atsushi Nishida
    Dai Nippon Printing Co., Ltd., Tokyo, Japan.
  • Kiyoto Kasai
    Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Shuntaro Ando
    Department of Neuropsychiatry Graduate School of Medicine, The University of Tokyo Tokyo Japan.

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