Cognitive Internet of Medical Things, Big Healthcare Data Analytics, and Artificial intelligence-based Diagnostic Algorithms during the COVID-19 Pandemic
Cognitive Internet of Medical Things, Big Healthcare Data Analytics, and Artificial intelligence-based Diagnostic Algorithms during the COVID-19 Pandemic

Summary/Abstract: We draw on a substantial body of theoretical and empirical research on cognitive Internet of Medical Things, big healthcare data analytics, and artificial intelligence-based diagnostic algorithms during the COVID-19 pandemic, and to explore this, we inspected, used, and replicated survey data from Brookings, CB Insights, Ericsson ConsumerLab, Gartner, McKinsey, and Sykes, performing analyses and making estimates regarding Internet of Medical Things-related diagnosis, prognosis, and treatment. Internet of Medical Things furthers healthcare systems considerably, optimizing processes that enable cutting-edge diagnosis and treatment methods through interconnected wearable sensor devices and real-time monitoring data acquired through Internet of Things technologies. Wearable devices, Internet of Things-based smart health monitoring, and artificial intelligence-based diagnosis can swiftly identify or predict possible COVID-19 patients. Artificial intelligence-enabled wearable medical devices facilitate remote monitoring processes. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

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