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A Study of Logistic Regression for Fatigue Classification Based on Data of Tongue and Pulse.

Yu-Lin ShiTao JiangXiao Juan HuJi CuiLong Tao CuiLi Ping TuXing Hua YaoJing Bin HuangJia-Tuo Xu
Published in: Evidence-based complementary and alternative medicine : eCAM (2022)
This study provided a new noninvasive method for the fatigue diagnosis from the perspective of objective tongue and pulse data, and the modern tongue diagnosis and pulse diagnosis have good application prospects.
Keyphrases
  • blood pressure
  • electronic health record
  • machine learning
  • big data
  • deep learning
  • sleep quality
  • physical activity