Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29290, first published .
A Traditional Chinese Medicine Syndrome Classification Model Based on Cross-Feature Generation by Convolution Neural Network: Model Development and Validation

A Traditional Chinese Medicine Syndrome Classification Model Based on Cross-Feature Generation by Convolution Neural Network: Model Development and Validation

A Traditional Chinese Medicine Syndrome Classification Model Based on Cross-Feature Generation by Convolution Neural Network: Model Development and Validation

Zonghai Huang   1 * , MA ;   Jiaqing Miao   2 * , PhD ;   Ju Chen   1 * , MA ;   Yanmei Zhong   1 , MA ;   Simin Yang   3 , MD ;   Yiyi Ma   1 , MA ;   Chuanbiao Wen   1 , MA

1 College of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, China

2 School of Mathematics, Southwest Minzu University, Chengdu, China

3 College of Acupuncture-Moxibustion and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China

*these authors contributed equally

Corresponding Author:

  • Chuanbiao Wen, MA
  • College of Medical Information Engineering
  • Chengdu University of Traditional Chinese Medicine
  • 37 Shierqiao Road
  • Chengdu, 610075
  • China
  • Phone: 86 18980069966
  • Email: 228237222@qq.com