Machine Learning-Based Prediction Model for Predicting the Effect of the Serum γKlotho Level on Susceptibility to Coronary Heart Disease
Serum γKlotho levels are novel biomarker which positively related to CHD risk. Additionally, the RF model can better predict the risk of CHD, and RF model is better appropriate to predicting the CHD risk in clinics.
Authors
- Zhiling Guo
- Tuersunjiang Naman (ORCID: https://orcid.org/0000-0001-9757-5107)
- Xiaolin Yu (ORCID: https://orcid.org/0000-0003-3256-0638)
- Hui Cheng
Institutions
- Xinjiang Medical University (CN)
- First Affiliated Hospital of Xinjiang Medical University (CN)
Publication Details
- Journal
- Vascular Health and Risk Management
- Published
- 2025-05-01
- DOI
- https://doi.org/10.2147/vhrm.s508351
- Primary Topic
- Parathyroid Disorders and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00