Artificial Intelligence– Electronic Medical Records Framework to predict COVID-19 by using Wearable IoT Devices
Ibrahim A. Atoum

Ibrahim A. Atoum, Department of Computer Science and Information Systems AlMaarefa University, PO Box 71666, Riyadh, Kingdom of Saudi Arabia.

Manuscript received on October 06, 2020. | Revised Manuscript received on October 25, 2020. | Manuscript published on November 30, 2020. | PP: 89-91 | Volume-9 Issue-4, November 2020. | Retrieval Number: 100.1/ijrte.D4821119420 | DOI: 10.35940/ijrte.D4821.119420
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Abstract: Corona virus is an infectious disease that causes respiratory infections, producing fever, difficulty breathing, and dry cough, which may be more dangerous for people who suffer from chronic diseases. Wearable Devices (WD) have been recently adopted in a wide range of areas to show distinct potentials in the healthcare field. The different types of WDs can be one of the important steps towards improving patient care while reducing the cost based on artificial intelligence (AI) applications. These applications work on big data that arise from WDs despite the existence of various challenges such as user acceptance, security, ethics issues, big data, AI and interoperability. The purpose of this study is to drawthe possibility of utilizing the big data arising from integrating WDs with the electronic Medical records (EMR) through applying AI technologies which in turn will lead to the possibility of employing all of these technologies in predicting COVID-19 infection. 
Keywords: Wearable IoT Devices, Artificial Intelligence, EMR, COVID-19, deep learning, big data.