Accessibility settings

This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (1278) Public (e)Health, Digital Epidemiology and Public Health Informatics (2248) Psychotic Disorders (287) Diagnostic Tools in Mental Health (418) Machine Learning (3085) Artificial Intelligence (4600) Mental Health Surveillance and Epidemiology (213) Computer-Aided Diagnosis (412)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66330, first published .
Woman wearing VR headset immersed in virtual reality with neon lights

Estimating the Prevalence of Schizophrenia in the General Population of Japan Using an Artificial Neural Network–Based Schizophrenia Classifier: Web-Based Cross-Sectional Survey

Estimating the Prevalence of Schizophrenia in the General Population of Japan Using an Artificial Neural Network–Based Schizophrenia Classifier: Web-Based Cross-Sectional Survey

Authors of this article:

Pichsinee Choomung1 Author Orcid Image ;   Yupeng He1 Author Orcid Image ;   Masaaki Matsunaga1 Author Orcid Image ;   Kenji Sakuma2 Author Orcid Image ;   Taro Kishi2 Author Orcid Image ;   Yuanying Li3 Author Orcid Image ;   Shinichi Tanihara4 Author Orcid Image ;   Nakao Iwata2 Author Orcid Image ;   Atsuhiko Ota1 Author Orcid Image
Article Authors Cited by (1) Tweetations (10) Metrics

Journals

  1. Ozsoy F, Tasci G, Tasci B, Dogan S, Tuncer T. Schizophrenia in the age of artificial intelligence: A review of advances in diagnosis, prediction, and digital psychiatry. World Journal of Psychiatry 2026;16(5) View