Supervised Machine Learning-Based Prediction of COVID-19

COVID-19 turned out to be an infectious and life-threatening viral disease, its swift overwhelming spread has become one of the greatest challenges for world. As yet, no satisfactory vaccine or medication been developed that could guarantee mitigation, though several efforts trials are underway. Countries around globe striving overcome while they finding ways early detection timely treatment. In this regard, healthcare experts, researchers scientists have delved into investigation existing as well new technologies. The situation demands development a clinical decision support system equip medical staff detect disease. state-of-the-art research in Artificial intelligence (AI), Machine learning (ML) cloud computing encouraged experts find effective schemes. This study aims provide comprehensive review role AI & ML investigating prediction techniques COVID-19. A mathematical model formulated analyze potential threat. proposed is cloud-based smart algorithm using vector machine (CSDC-SVM) with cross-fold validation testing. experimental results achieved accuracy 98.4% 15-fold cross-validation strategy. comparison similar methods reveals CSDC-SVM possesses better efficiency.