Construction and Verification of a Frailty Risk Prediction Model for Elderly Patients with Coronary Heart Disease Based on a Machine Learning Algorithm
By leveraging key frailty determinants in elderly patients with CHD, the AdaBoost machine learning model developed in this study has shown robust predictive performance through validated indicators and offers a reliable tool for assessing frailty risk in this patient population.
Authors
- X. R. Zhou
- Lixiang Zhang (ORCID: https://orcid.org/0000-0002-9139-1064)
- Jiaoyu Cao (ORCID: https://orcid.org/0009-0004-1503-3005)
Institutions
- University of Science and Technology of China (CN)
Publication Details
- Journal
- Reviews in Cardiovascular Medicine
- Published
- 2025-02-21
- DOI
- https://doi.org/10.31083/rcm26225
- Citations
- 7
- Primary Topic
- Frailty in Older Adults
- Type
- article
- Field-Weighted Citation Impact
- 8.57