Download PDFOpen PDF in browserCardioNet Insight: a Comprehensive Recommendation System for Cardiovascular Disease Prediction and Prevention through IoT ConnectivityEasyChair Preprint 129367 pages•Date: April 6, 2024AbstractThis paper outlines the system's comprehensive approach, which integrates diverse data sources, including patient health records, real-time physiological data from wearable devices, and environmental factors. Through advanced machine learning algorithms, CardioNet Insight analyzes this data to generate personalized risk assessments for individuals, identifying potential CVD risks before they manifest clinically. Furthermore, the system provides tailored recommendations for preventive measures and lifestyle modifications, empowering users to proactively manage their cardiovascular health. By harnessing the power of IoT connectivity, CardioNet Insight represents a significant advancement in CVD management, offering a proactive and personalized approach to disease prevention and health promotion. Keyphrases: cardio, insight, net
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