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

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) New Technologies (81) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Knowledge Translation and Implementation Science (407)

Published on in Vol 10, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38414, first published .
Leveraging Representation Learning for the Construction and Application of a Knowledge Graph for Traditional Chinese Medicine: Framework Development Study

Leveraging Representation Learning for the Construction and Application of a Knowledge Graph for Traditional Chinese Medicine: Framework Development Study

Leveraging Representation Learning for the Construction and Application of a Knowledge Graph for Traditional Chinese Medicine: Framework Development Study

Authors of this article:

Heng Weng1 Author Orcid Image ;   Jielong Chen2 Author Orcid Image ;   Aihua Ou1 Author Orcid Image ;   Yingrong Lao1 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

Heng Weng   1 , MD ;   Jielong Chen   2 , MD ;   Aihua Ou   1 , BA ;   Yingrong Lao   1 , PhD

1 State Key Laboratory of Dampness Syndrome of Chinese Medicine, Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China

2 School of Information Science, Guangdong University of Finance & Economics, Guangzhou, China

Corresponding Author:

  • Yingrong Lao, PhD
  • State Key Laboratory of Dampness Syndrome of Chinese Medicine
  • Second Affiliated Hospital of Guangzhou University of Chinese Medicine
  • Dade road No. 111
  • Guangzhou, 510120
  • China
  • Phone: 86 81887233 ext 35933
  • Email: laoyingrong@qq.com