期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2021
卷号：99
期号：12
语种：English
出版社：Journal of Theoretical and Applied
摘要：With the recent advancements on the computer-engineering field, the paradigm of smart home has been increasingly suggested as an empowering solution for various issues. Smart home employs the most novel technologies, such as wearable technologies, the Internet of Things (IoT), cloud computing and machine learning analysis capabilities to change the way we live. Accordingly, a smart home for medical surveillance would certainly reinforce the smart healthcare model, thus making healthcare system further accomplished, more comfortable and customizable. With the intent of creating a convenient smart home for medical surveillance, in this paper, we first introduce a novel architecture for a smart home aimed to monitor a patient specific health condition and update the health practitioner with the patient data. Then, we exhibit a comparative study of several machine-learning classification algorithms capable of classifying a patient arising health condition and ultimately decide whether to raise a concern notification, call for help or only log the information.
