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

Theme issue 2019: Health Natural Language Processing (16) Clinical Information and Decision Making (859) Complementary and Alternative Medicine (18) Machine Learning (954) Natural Language Processing (471)

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 Zhang 1 Author Orcid Image ;   Wandong Ni 2 Author Orcid Image ;   Jing Li 1 Author Orcid Image ;   Jiajun Zhang 3 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) 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 , CN

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

3 Department of Software Engineering , NCT Lab Corp , Billerica , MA , US

*all authors contributed equally

Corresponding Author:

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