An Intelligent Mental Health Identification Method for College Students: A Mixed-Method Study.

Journal: International journal of environmental research and public health
Published Date: Nov 14, 2022

Abstract

PURPOSE: Mental health assessments that combine patients' facial expressions and behaviors have been proven effective, but screening large-scale student populations for mental health problems is time-consuming and labor-intensive. This study aims to provide an efficient and accurate intelligent method for further psychological diagnosis and treatment, which combines artificial intelligence technologies to assist in evaluating the mental health problems of college students.

Authors

  • Chong Li
    Division of Intelligent and Biomechanical System, State Key Laboratory of Tribology, Tsinghua University, Haidian, Beijing, China.
  • Mingzhao Yang
    Institute of Medical Information Security, Xuzhou Medical University, Xuzhou 221004, China.
  • Yongting Zhang
    Institute of Medical Information Security, Xuzhou Medical University, Xuzhou 221004, China.
  • Khin Wee Lai
    Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603, Kuala Lumpur, Malaysia.

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