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Article Abstract
Effective monitoring of the daily lives of patients with cardiovascular chronic diseases through smart healthcare technologies can help improve their quality of life, while also reducing the mortality and readmission rates associated with these diseases. Based on this, the present study aims to utilize the Internet of Things (IoT)-enabled wearable devices and machine learning techniques to collect health data from cardiovascular patients in their home environments. The goal is to enhance the accuracy and comprehensiveness of data collection and to construct a standardized health dataset. This will facilitate the precise prediction of adverse cardiovascular events, enabling timely medical interventions and reducing the likelihood of patient readmission, ultimately alleviating the burden on healthcare systems.
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