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

Tools, Programs and Algorithms (360) Natural Language Processing (871) Ontologies, Classifications, and Coding (309) Clinical Information and Decision Making (1815) Artificial Intelligence (2003) Decision Support for Health Professionals (1473) Complementary and Alternative Medicine (78) Generative Language Models Including ChatGPT (633)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69286, first published .
A Weighted Voting Approach for Traditional Chinese Medicine Formula Classification Using Large Language Models: Algorithm Development and Validation Study

A Weighted Voting Approach for Traditional Chinese Medicine Formula Classification Using Large Language Models: Algorithm Development and Validation Study

A Weighted Voting Approach for Traditional Chinese Medicine Formula Classification Using Large Language Models: Algorithm Development and Validation Study

Authors of this article:

Zhe Wang1, 2 Author Orcid Image ;   Keqian Li3 Author Orcid Image ;   Suyuan Peng4 Author Orcid Image ;   Lihong Liu4 Author Orcid Image ;   Xiaolin Yang1 Author Orcid Image ;   Keyu Yao4 Author Orcid Image ;   Heinrich Herre2, 5 Author Orcid Image ;   Yan Zhu4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Zhe Wang   1, 2 , MSc ;   Keqian Li   3 , MM ;   Suyuan Peng   4 , MD, PhD ;   Lihong Liu   4 , MM ;   Xiaolin Yang   1 , PhD ;   Keyu Yao   4 , PhD ;   Heinrich Herre   2, 5 , Prof Dr ;   Yan Zhu   4 , PhD

1 Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences; School of Basic Medicine, Peking Union Medical College, Beijing, China

2 Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany

3 School of Medical Information, Changchun University of Chinese Medicine, Changchun, China

4 Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China

5 Institute for Computer Science, University of Leipzig, Leipzig, Germany

Corresponding Author:

  • Yan Zhu, PhD
  • Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences
  • No 16, Nanxiao Street, Dongzhimen
  • Beijing 100010
  • China
  • Phone: 86 010 64089639
  • Email: zhuyan166@126.com