Machine Learning-Based Classifier for Identifying Inpatients With Schizophrenia at High Risk of Suicide.

Journal: Journal of advanced nursing
Published Date: Jul 18, 2025

Abstract

AIMS: The suicide rate of individuals with schizophrenia is higher than the general population. In clinical practice, it is essential to identify patients with schizophrenia who are at an elevated risk of suicide. However, previous studies may not fully account for potential factors that could influence the suicide risk among schizophrenia patients. Our study leverages machine learning to identify predictive variables from a broad range of indicators.

Authors

  • Chunxia Qiao
    Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Xuemin Zou
    Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Weili Deng
    Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
  • Min Xie
    Department of Respiratory Disease, West China Hospital, Sichuan University, Chengdu 610041,China.
  • Min Zou
    School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, P.R. China.
  • Qiang Wang
    Ningbo Konfoong Bioinformation Tech Co., Ltd, Ningbo, China.

Keywords

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