ABSTRACT
CoV-2 SARS is one of seven coronavirus variants, including those causing Serious illnesses like MARS (Middle East Respiratory Syndrome) and severe acute respiratory syndrome (SARS). Some other coronaviruses trigger much of the cold we get year-round but are not a significant threat to safe people anywhere. Machine learning has many advantages in the health sector to detect different conditions. In order to predict a Covid 19 risk assessment, machine learning algorithms such as Ada Boost, Gradient descent, Random Forest, Decision Tree, Gaussian Naive Bayes, and ANN (Artificial Neural Network) Feed are using to forecast the risk of Covid 19. The optimization of particle swarm is employed to remove essential data sets properties, while the group selects the algorithm that gives optimum precision. The maximum accuracy was attaining with Ada Boost and Particle Swarm Optimization. In this chapter, an intelligent classification method has been conventional across well-established data sets. Finally, precision, sensitivity, and specificity performance have been evaluating.
