Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64725, first published .
A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Development and Validation

A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Development and Validation

A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Development and Validation

Xiaojie Jin   1, 2 * , Prof Dr ;   Yanru Wang   1 * , Dr med ;   Jiarui Wang   3 * , MM ;   Qian Gao   2 , MSc ;   Yuhan Huang   1 , MM ;   Lingyu Shao   4 , MM ;   Jiali Zhao   1 , MM ;   Jintian Li   1 , Prof Dr ;   Ling Li   1 * , Prof Dr ;   Zhiming Zhang   5 * , Prof Dr Med ;   Shuyan Li   4 * , Prof Dr ;   Yongqi Liu   1 * , Prof Dr, Prof Dr Med

1 Key Laboratory of Dunhuang Medicine, Ministry of Education, Gansu University of Chinese Medicine, Lanzhou, China

2 College of Pharmacy, Gansu University of Chinese Medicine, Lanzhou, China

3 The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China

4 School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China

5 Gansu Provincial Hospital of Traditional Chinese Medicine, Lanzhou, China

*these authors contributed equally

Corresponding Author:

  • Yongqi Liu, Prof Dr, Prof Dr Med
  • Key Laboratory of Dunhuang Medicine
  • Ministry of Education, Gansu University of Chinese Medicine
  • Dingxi East Road, 35th
  • Lanzhou 730000
  • China
  • Phone: 86 13919019578
  • Email: liuyongqi73@163.com