Hussain Mohammad Abu-Dalbouh*
Associate Professor, Department of Computer Science, Qassim University, Qassim, Kingdom of Saudi Arabia
*Corresponding Author: Hussain Mohammad Abu-Dalbouh, Associate Professor, Department of Computer Science, Qassim University, Qassim, Kingdom of Saudi Arabia.
Received: August 24, 2020; Published: October 21, 2020
Novel coronavirus (COVID-19) pandemic has neither clinically demonstrated antibody nor drugs; in any case, its patients are recovering with the guide of anti-microbial prescriptions, against viral medications, and chloroquine for instance nutrient C supplementation. It is presently clear that the world needs to find quick answers for contain and tackle the further spread of COVID-19 over the world with the aid of non-clinical approaches in order to mitigate the huge burden on the healthcare system while providing the best possible means for patients' diagnosis and prognosis of the COVID-19 pandemic effectively.
Citation: Hussain Mohammad Abu-Dalbouh. “Role of Data Mining Algorithms in Detecting and Diagnosing the Novel Coronavirus (COVID-19)". Acta Scientific Computer Sciences 2.11 (2020): 32.
Copyright: © 2020 Hussain Mohammad Abu-Dalbouh. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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