Machine learning-driven development of a stratified CES-D screening system: optimizing depression assessment through adaptive item selection.

Journal: BMC psychiatry
PMID: 40133848

Abstract

OBJECTIVE: To develop a stratified screening tool through machine learning approaches for the Center for Epidemiologic Studies Depression Scale (CES-D-20) while maintaining diagnostic accuracy, addressing the efficiency limitations in large-scale applications.

Authors

  • Ruo-Fei Xu
    School of Mental Health, Wenzhou Medical University, Wenzhou, China.
  • Zhen-Jing Liu
    School of Mental Health, Wenzhou Medical University, Wenzhou, China.
  • Shunan Ouyang
    School of Mental Health, Wenzhou Medical University, Wenzhou, China.
  • Qin Dong
    School of Mental Health, Wenzhou Medical University, Wenzhou, China.
  • Wen-Jing Yan
    School of Mental Health, Wenzhou Medical University, Wenzhou, China. yanwj@wmu.edu.cn.
  • Dong-Wu Xu
    School of Mental Health, Wenzhou Medical University, Wenzhou, China. xdw@wmu.edu.cn.

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