Internet of Medical Things-based Clinical Decision Support Systems, Smart Healthcare Wearable Devices, and Machine Learning Algorithms in COVID-19 Prevention, Screening, Detection, Diagnosis, and Treatment

Abstract

Keywords: smart healthcare wearable device;COVID-19;Internet of Medical Things 1.Introduction The purpose of our systematic review is to examine the recently published literature on COVID-19 prevention, screening, detection, diagnosis, and treatment and integrate the insights it configures on Internet of Medical Things-based clinical decision support systems, smart healthcare wearable devices, and machine learning algorithms. 3.Methodology Throughout February 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including "COVID-19" + "Internet of Medical Things-based clinical decision support systems," "smart healthcare wearable devices," and "machine learning algorithms." COVID-19 data management can integrate real-time analysis of electronic health records (Akinbi et al., 2021;Asadzadeh et al., 2022;Rasheed et al., 2021), assisting in prevention, screening, detection, diagnosis, and treatment. Internet of Medical Things-driven remote monitoring systems can provide in-depth individualized healthcare data collection, analysis, processing, and diagnosis.