In March 2020, the World Health Organization (WHO) declared the new corona virus pneumonia (COVID-19) as a world pandemic, which means that the epidemic has broken out worldwide. COVID-19 is a highly contagious virus which almost freezes the world along with its economy. Its ability of human-to-human and surface-to-human transmission turns the world into catastrophic phase. The main clinical symptoms of COVID-19 are fever, cough, and fatigue, which may lead to a fatal complication: acute respiratory distress syndrome. The main challenge in inhibiting the spread of this disease is the lack of efficient detection methods. In clinical practice, by combining clinical symptoms and travel history, CT Scan is an efficient and safe method to diagnose COVID-19. Computer Aided Diagnostic technology improves the sensitivity and specificity of doctor's diagnosis and is accurate and efficient, which helps rapid diagnosis of a large number of suspicious cases. For example, the out preformed AI-assisted diagnosis system can achieve an accuracy rate comparable to that of radiologists, and it take less than 1 second to perform a diagnosis. In this research work, the main aim is to predict the future conditions of COVID-19 to recede its impact. The prediction results show the superiority of the proposed intelligent predictors with accuracy greater than 98%. Therefore, medical personnel can take defensive steps earlier.

Machine Learning Algorithms, Coronavirus Disease 2019 (COVID-19), Disease Prediction, SARS-CoV-19.