Designing Intelligent System for Stratification of COVID-19 Asymptomatic Patients
1 Apr, 2020Abstract
The world is going through a life-threating, a war-like, virus attack called COVID-19. Since its inception in the
last four months, it has been increased ten times every two weeks outside mainland China. In this case, we address this
challenging human crisis with a focus on the early discovery of coronavirus asymptomatic patients which would help to
reduce the cross-infection of COVID-19 that estimates to attack at least 60% of the world population, according to WHO
(2020). This paper aims targets to raise the capacity of the health services authorities and help the community decision-maker
to discover early asymptomatic and mild patients infected with COVID-19 by developing and applying intelligent
decision-making protocol that would enhance the 'hit rate' of identifying and stratifying such cases. The paper has important
implications of both the elimination of the COVID-19 and enhances the cost-effectiveness and the return of the efforts of the
other isolation and quarantine measures taken all over the world.