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

Formative Evaluation of Digital Health Interventions (2712) Psychotic Disorders (173) Diagnostic Tools in Mental Health (274) Artificial Intelligence (1626) Machine Learning (1644)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50193, first published .
Classifying Schizophrenia Cases by Artificial Neural Network Using Japanese Web-Based Survey Data: Case-Control Study

Classifying Schizophrenia Cases by Artificial Neural Network Using Japanese Web-Based Survey Data: Case-Control Study

Classifying Schizophrenia Cases by Artificial Neural Network Using Japanese Web-Based Survey Data: Case-Control Study

Authors of this article:

Yupeng He1 Author Orcid Image ;   Masaaki Matsunaga1 Author Orcid Image ;   Yuanying Li2 Author Orcid Image ;   Taro Kishi3 Author Orcid Image ;   Shinichi Tanihara4 Author Orcid Image ;   Nakao Iwata3 Author Orcid Image ;   Takahiro Tabuchi5 Author Orcid Image ;   Atsuhiko Ota1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. He Y, Sun Q, Matsunaga M, Ota A. Can feature structure improve model’s precision? A novel prediction method using artificial image and image identification. JAMIA Open 2024;7(1) View
  2. He Y, Sakuma K, Kishi T, Li Y, Matsunaga M, Tanihara S, Iwata N, Ota A. External Validation of a Machine Learning Model for Schizophrenia Classification. Journal of Clinical Medicine 2024;13(10):2970 View
  3. Choomung P, He Y, Matsunaga M, Sakuma K, Kishi T, Li Y, Tanihara S, Iwata N, Ota A. Estimating the Prevalence of Schizophrenia in the General Population of Japan Using an Artificial Neural Network–Based Schizophrenia Classifier: Web-Based Cross-Sectional Survey. JMIR Formative Research 2025;9:e66330 View