Herb-Know: Knowledge Enhanced Prescription Generation for Traditional Chinese Medicine-Reference-Cited by-同舟云学术

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Herb-Know: Knowledge Enhanced Prescription Generation for Traditional Chinese Medicine

Published:2020-12-16 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Li Chanjuan,Liu Dayiheng,Yang Kexin,Huang Xiaoming,Lv Jiancheng

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9312958/9312977/09313476.pdf?arnumber=9313476

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TCMM: A unified database for traditional Chinese medicine modernization and therapeutic innovations;Computational and Structural Biotechnology Journal;2024-12

2. A novel multi-view contrastive learning for herb recommendation;Applied Intelligence;2024-08-21

3. TCM-KDIF: An Information Interaction Framework Driven by Knowledge–Data and Its Clinical Application in Traditional Chinese Medicine;IEEE Internet of Things Journal;2024-06-01

4. PresRecST: a novel herbal prescription recommendation algorithm for real-world patients with integration of syndrome differentiation and treatment planning;Journal of the American Medical Informatics Association;2024-04-10

5. Domain Specific Pre-training Methods for Traditional Chinese Medicine Prescription Recommendation;Lecture Notes in Computer Science;2024

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