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

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

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 predictor...

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Main Authors: Yutaka Sawai, Riki Tanaka, Rin Minami, Daiki Nagaoka, Akito Uno, Ayako Okuma, Syudo Yamasaki, Mitsuhiro Miyashita, Atsushi Nishida, Kiyoto Kasai, Shuntaro Ando
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:PCN Reports
Subjects:
data‐driven approach
general population
machine learning
obsessive–compulsive symptoms
psychotic experiences
Online Access:https://doi.org/10.1002/pcn5.70103
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https://doi.org/10.1002/pcn5.70103

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