A Machine Learning Model Integrating Tongue Image Features and Myocardial Injury Markers Predicts Major Adverse Cardiovascular Events in Patients with Coronary Heart Disease
This study provides insight into the potential application of myocardial injury markers, tongue colour parameters, in the prediction of MACE, and future studies could extend the optimisation of the prediction model and explore its application in other cardiovascular diseases.
Authors
- Qingsheng Wang (ORCID: https://orcid.org/0000-0002-6411-984X)
- Zhaoxia Xu (ORCID: https://orcid.org/0000-0002-8029-711X)
- Mi Zhou (ORCID: https://orcid.org/0000-0002-8869-3862)
- Yumo Xia
- Jiekee Lim (ORCID: https://orcid.org/0000-0001-7719-6222)
- Jieyun Li (ORCID: https://orcid.org/0000-0002-1521-0110)
- Xinang Xiao
Institutions
- Tongji University (CN)
- Shanghai University of Traditional Chinese Medicine (CN)
- Hegang People's Hospital (CN)
- Shanghai Traditional Chinese Medicine Hospital (CN)
Publication Details
- Journal
- International Journal of General Medicine
- Published
- 2025-07-01
- DOI
- https://doi.org/10.2147/ijgm.s531806
- Citations
- 1
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.38