Exploring the Potential of IoT, Machine Learning, and Cloud Computing in Smart Home Applications

This study investigates using machine learning (ML), the Internet of Things (IoT), and cloud computing to predict cardiovascular diseases. Integrating these advanced technologies in healthcare enables the collection, analysis, and real-time response to patient data, enhancing early diagnosis and personalised treatment plans. This paper presents various case studies demonstrating the successful application of ML algorithms, IoT devices, and cloud platforms in cardiovascular disease prediction. The findings highlight significant improvements in prediction accuracy, patient monitoring, and overall healthcare efficiency. Additionally, the study addresses the challenges, opportunities, and future research directions in the field, aiming to provide a comprehensive understanding of the potential of these technologies in transforming cardiovascular healthcare.