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@article{185808,
        author = {Rohit S. Raut and Aasheesh Raizada},
        title = {Real-Time Cardiovascular Risk Prediction Using IoT and Reinforcement Learning on Cloud Infrastructure},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {50-65},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185808},
        abstract = {Cardiovascular diseases (CVDs) are a significant worldwide health problem, requiring next-generation solutions in terms of real-time monitoring, smart data analysis, and flexible infrastructure. In this paper, we present an Internet of Things (IoT) and cloud-based end-to-end monitoring system for cardiovascular health. The innovation includes the use of Deep Deterministic Policy Gradient (DDPG), a reinforcement learning algorithm, to significantly enhance predictive accuracy and allow for personalized patient recommendations. Our approach optimizes hospital operations (patient care, billing) and remotely tracks vital signs (heart rate, blood pressure, cholesterol) through IoT sensors. Cloud infrastructure provides secure, real-time access to data, enabling healthcare professionals to react to critical events promptly. DDPG learns from dynamic patient data to optimize clinical decision-making, demonstrating superior classification performance compared to conventional models such as Logistic Regression and Random Forest. Experimental testing displays excellent efficacy with 94.2% accuracy and 93.1% recall in heart disease prediction. This integration of IoT, cloud computing, and reinforcement learning establishes a strong foundation for early diagnosis, reduced false positives, and personalized cardiovascular therapy, a testament to a significant breakthrough in digital health.},
        keywords = {Cardiovascular Health Monitoring, Internet of Things (IoT), Cloud Computing, Deep Reinforcement Learning (DDPG), Predictive Analytics.},
        month = {},
        }