Published on in Vol 10, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35239, first published .
Transformer- and Generative Adversarial Network–Based Inpatient Traditional Chinese Medicine Prescription Recommendation: Development Study

Transformer- and Generative Adversarial Network–Based Inpatient Traditional Chinese Medicine Prescription Recommendation: Development Study

Transformer- and Generative Adversarial Network–Based Inpatient Traditional Chinese Medicine Prescription Recommendation: Development Study

Hong Zhang   1 * , MSc ;   Jiajun Zhang   2 * , PhD ;   Wandong Ni   3 , PhD ;   Youlin Jiang   1 , MSc ;   Kunjing Liu   1 , BSc ;   Daying Sun   4 , PhD ;   Jing Li   1 , MSc

1 Guanganmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China

2 School of Electronic Information Engineering, Wuxi University, Wuxi, China

3 Physician Qualification Program, Certification Center of Traditional Chinese Medicine, State Administration of Traditional Chinese Medicine, Beijing, China

4 School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing, China

*these authors contributed equally

Corresponding Author:

  • Wandong Ni, PhD
  • Physician Qualification Program
  • Certification Center of Traditional Chinese Medicine
  • State Administration of Traditional Chinese Medicine
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  • Xicheng District
  • Beijing, 100053
  • China
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