A Weighted Voting Approach for Traditional Chinese Medicine Formula Classification Using Large Language Models: Algorithm Development and Validation Study
Abstract BackgroundSeveral clinical cases and experiments have demonstrated the effectiveness of traditional Chinese medicine (TCM) formulas in treating and preventing diseases. These formulas contain critical information about their ingredients, efficacy, and indications. Cla...
Saved in:
| Main Authors: | Zhe Wang, Keqian Li, Suyuan Peng, Lihong Liu, Xiaolin Yang, Keyu Yao, Heinrich Herre, Yan Zhu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-07-01
|
| Series: | JMIR Medical Informatics |
| Online Access: | https://medinform.jmir.org/2025/1/e69286 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
TCMEval-SDT: a benchmark dataset for syndrome differentiation thought of traditional Chinese medicine
by: Zhe Wang, et al.
Published: (2025-03-01) -
Elevating traditional Chinese medicine in global health research: The case for Chinese herbal medicine formulas in mainstream therapeutics
by: Aiping Lu
Published: (2025-04-01) -
Application, Challenges, and Prospects of Large Language Model in the Field of Traditional Chinese Medicine
by: CHEN Zijia, et al.
Published: (2024-08-01) -
Treatment Patterns of Traditional Chinese Medicine Formula Granules among Patients with Type 2 Diabetes
by: Jiayue Chen,, et al.
Published: (2024-03-01) -
Evaluating the role of large language models in traditional Chinese medicine diagnosis and treatment recommendations
by: Yu Liu, et al.
Published: (2025-07-01)