Publication

Abstract : The surge in heart-related issues is linked to lifestyle changes and increased fast food consumption. The convergence of cloud computing, IoT and machine learning for the prediction of cardio vascular disease is examined in this survey. In order to combat the worldwide increase in Cardio Vascular Disease, researchers are investigating novel strategies that make use of IoT sensors, ensemble approaches and machine learning for ongoing health monitoring. By combining these technologies, the IoT-ML-Cloud paradigm seeks to improve the accuracy of Cardio Vascular Disease prediction. It also emphasizes the importance of cloud computing and data mining for large-scale medical data analysis, as well as key findings from various ML algorithms in Cardio Vascular Disease diagnosis.