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

Formative Evaluation of Digital Health Interventions (2226) Psychotic Disorders (157) Diagnostic Tools in Mental Health (224) Artificial Intelligence (1214) Machine Learning (1400)

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 (2) 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