Predicting new-onset stroke with machine learning: development of a model integrating traditional Chinese and western medicine
Under identical traditional risk factors, Chinese residents with Fire syndrome may have a higher risk of new-onset stroke. In high-risk populations for stroke, it is recommended to prioritize the screening and management of hypertension, Fire syndrome, and carotid atherosclerosis. However, future high-performance TCM predictive models require more objective and larger datasets for optimization.
Authors
- Jingzi Shi
- Liuding Wang
- Yifan Chen (ORCID: https://orcid.org/0009-0003-9017-3350)
- Ze Yang (ORCID: https://orcid.org/0000-0001-7556-2954)
- Lina Miao
- Xiao Liang (ORCID: https://orcid.org/0000-0001-5608-8038)
- Jingjing Wei (ORCID: https://orcid.org/0000-0003-1462-8213)
- Zhang Yunling (ORCID: https://orcid.org/0000-0002-9709-9566)
- Min Jia (ORCID: https://orcid.org/0000-0002-3213-7285)
- Zhiyi Gong
- Jian Lyu (ORCID: https://orcid.org/0000-0001-6518-622X)
Institutions
- Shandong University of Traditional Chinese Medicine (CN)
- Beijing University of Chinese Medicine (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Xiyuan Hospital (CN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2025-02-21
- DOI
- https://doi.org/10.3389/fphar.2025.1546878
- Citations
- 1
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.38
Funders
- State Administration of Traditional Chinese Medicine of the People's Republic of China
- China Academy of Chinese Medical Sciences