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Comprehensive Monitoring and Evaluation of Cardiovascular Disease Risk
Abstract
This paper presents an AI-assisted, non-invasive cardiovascular monitoring system that combines CatBoost-based risk prediction, SHAP interpretability, ECG-linked sensor hardware, and cloud-connected data collection for earlier screening. Framed around preventive and remote-care use cases, the study positions the device as a low-cost tool for cardiovascular risk assessment while emphasizing model transparency, practical deployment, and real-time monitoring utility.
Publication Metadata
Keywords
cardiovascular diseaseCatBoostSHAPnon-invasive monitoringbiomedical sensorsECGcloud diagnosticsartificial intelligencepreventive healthcare
Citation
Anna Li (2026). Comprehensive Monitoring and Evaluation of Cardiovascular Disease Risk. The Insight Research Repository. INSIGHT-BIO-003
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