Integrating machine learning and human use experience to identify personalized pharmacotherapy in Traditional Chinese Medicine: a case study on resistant hypertension.
Machine learning algorithms can make full use of human use experience and evidence to save clinical trial resources and accelerate the development of TCM varieties.
Authors
- Xuejie Wang (ORCID: https://orcid.org/0000-0002-7415-6580)
- Xuejie Han (ORCID: https://orcid.org/0000-0003-3558-7764)
- Wei Yang (ORCID: https://orcid.org/0000-0002-8979-5967)
- Bai Weiguo
- Xinghua Xiang
- Liying Wang (ORCID: https://orcid.org/0000-0002-5638-1784)
- Jian Liu (ORCID: https://orcid.org/0000-0002-4539-3958)
- Dasheng Liu (ORCID: https://orcid.org/0000-0002-2235-4673)
- Yaxin Tian
- Che Qianzi
- Xie Feibiao
- X U Wenyuan
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Xiyuan Hospital (CN)
- China Academy of Chinese Medical Sciences (CN)
Publication Details
- Journal
- PubMed
- Published
- 2025-02-01
- DOI
- https://doi.org/10.19852/j.cnki.jtcm.2025.01.019
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- China Academy of Chinese Medical Sciences
- National Key Research and Development Program of China