Machine learning research based on diffusion tensor images to distinguish between anorexia nervosa and bulimia nervosa.

Journal: Frontiers in psychiatry
Published Date: Jan 11, 2024

Abstract

BACKGROUND: Anorexia nervosa (AN) and bulimia nervosa (BN), two subtypes of eating disorders, often present diagnostic challenges due to their overlapping symptoms. Machine learning has proven its capacity to improve group classification without requiring researchers to specify variables. The study aimed to distinguish between AN and BN using machine learning models based on diffusion tensor images (DTI).

Authors

  • Linli Zheng
    Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.
  • Yu Wang
    Clinical and Technical Support, Philips Healthcare, Shanghai, China.
  • Jing Ma
    Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.
  • Meiou Wang
    Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.
  • Yang Liu
    Department of Computer Science, Hong Kong Baptist University, Hong Kong, China.
  • Jin Li
    Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.
  • Tao Li
    Department of Emergency Medicine, Jining No.1 People's Hospital, Jining, China.
  • Lan Zhang
    Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.

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