Li, Ai and Yang, Fanrui (2025) Integrating Demographic, Clinical, and Behavioral Risk Factors for Cardiovascular Disease: A Random Forest Approach for Analysis, Prevention, and Prediction. In: Proceedings of the 2nd International Conference on Machine Learning and Automation, CONF-MLA 2024, November 21, 2024, Adana, Turkey.
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Abstract
Cardiovascular disease (CVD) remains a critical health concern worldwide, posing a significant threat to human well-being. Previous studies have established that behavioral factors (e.g. alcohol consumption), specific clinical indicators, and demographic characteristics (e.g., CKD) are key determina
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 18:27 |
| Last Modified: | 16 Apr 2026 21:39 |
| URI: | http://eprints.eai.eu/id/eprint/52529 |
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