A novel machine learning approach to shorten depression risk assessment for convenient uses.

Journal: Journal of affective disorders
PMID: 35752214

Abstract

BACKGROUND: Depression is a mental disorder affecting many people worldwide which has been exacerbated by the current pandemic. There is an urgent need for a reliable yet short scale for individuals to self-assess the risk of depression conveniently and rapidly on a regular basis.

Authors

  • Yuan Hong Sun
    Beijing Anding Hospital, China; University of Toronto, Canada.
  • Qijian Liu
    University of Toronto, Canada.
  • Nathan Yee Lee
    Western University, Canada.
  • Xiaohong Li
    College of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
  • Kang Lee
    Dr. Eric Jackman Institute of Child Study, University of Toronto, Toronto, M5R 2X2, Canada. kang.lee@utoronto.ca.

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