This paper is in the following e-collection/theme issue:

Theme issue 2019: Health Natural Language Processing (17) Clinical Information and Decision Making (1723) Complementary and Alternative Medicine (65) Machine Learning (1829) Natural Language Processing (830)

Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17608, first published .
Artificial Intelligence–Based Traditional Chinese Medicine Assistive Diagnostic System: Validation Study

Artificial Intelligence–Based Traditional Chinese Medicine Assistive Diagnostic System: Validation Study

Artificial Intelligence–Based Traditional Chinese Medicine Assistive Diagnostic System: Validation Study

Authors of this article:

Hong Zhang1 Author Orcid Image ;   Wandong Ni2 Author Orcid Image ;   Jing Li1 Author Orcid Image ;   Jiajun Zhang3 Author Orcid Image
Article Authors Cited by (55) Tweetations (3) Metrics

Hong Zhang   1 * , MSc ;   Wandong Ni   2 * , PhD, MD ;   Jing Li   1 * , MSc ;   Jiajun Zhang   3 * , PhD

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

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

3 Department of Software Engineering, NCT Lab Corp, Billerica, MA, United States

*all authors contributed equally

Corresponding Author:

  • Hong Zhang, MSc
  • Computer Center
  • Guanganmen Hospital
  • China Academy of Chinese Medical Sciences
  • 5 Beixiange
  • Xicheng District
  • Beijing 100053
  • China
  • Phone: 86 13811658952
  • Email: zhanghong6699@163.com