A New Approach of Fatigue Classification Based on Data of Tongue and Pulse With Machine Learning.

Journal: Frontiers in physiology
Published Date: Feb 7, 2022

Abstract

BACKGROUND: Fatigue is a common and subjective symptom, which is associated with many diseases and suboptimal health status. A reliable and evidence-based approach is lacking to distinguish disease fatigue and non-disease fatigue. This study aimed to establish a method for early differential diagnosis of fatigue, which can be used to distinguish disease fatigue from non-disease fatigue, and to investigate the feasibility of characterizing fatigue states in a view of tongue and pulse data analysis.

Authors

  • Yulin Shi
    Basic Medical College, Shanghai University of Traditional Chinese Medicine, Pudong, China.
  • Xinghua Yao
    Basic Medical College, Shanghai University of Traditional Chinese Medicine, Pudong, China.
  • Jiatuo Xu
    Basic Medical College, Shanghai University of Traditional Chinese Medicine, Pudong, China.
  • Xiaojuan Hu
    Shanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Pudong, China.
  • Liping Tu
    Basic Medical College, Shanghai University of Traditional Chinese Medicine, Pudong, China.
  • Fang Lan
    Basic Medical College, Shanghai University of Traditional Chinese Medicine, Pudong, China.
  • Ji Cui
    Basic Medical College, Shanghai University of Traditional Chinese Medicine, Pudong, China.
  • Longtao Cui
    Basic Medical College, Shanghai University of Traditional Chinese Medicine, Pudong, China.
  • Jingbin Huang
    Basic Medical College, Shanghai University of Traditional Chinese Medicine, Pudong, China.
  • Jun Li
    Department of Emergency, Zhuhai Integrated Traditional Chinese and Western Medicine Hospital, Zhuhai, 519020, Guangdong Province, China. quanshabai43@163.com.
  • Zijuan Bi
    Basic Medical College, Shanghai University of Traditional Chinese Medicine, Pudong, China.
  • Jiacai Li
    Basic Medical College, Shanghai University of Traditional Chinese Medicine, Pudong, China.

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