COVID-19 Virus Prediction Using CNN and Logistic Regression Classification Strategies

COVID-19 virus is certainly considered as one of the harmful viruses amongst all illnesses in biological science. symptoms are fever, cough, sore throat, and headache. The paper gave a singular function for prediction most diseases presented with Convolutional Neural Networks Logistic Regression which might be supervised learning gaining knowledge strategies detection. proposed system makes use an 8-fold pass determination to get correct result. analysis dataset taken from Microsoft Database, Kaggle, UCI websites repository. studies investigate (CNN) (LR) about usage database, Google Database Datasets. This hybrid method virus, disease analyses through reducing dimensionality capabilities (LR), after making brand new decreased regression. received accuracy 78.82%, sensitiveness 97.41%, specialness 98.73%. overall performance appraised thinking performance, accuracy, error rate, sensitiveness, particularity, correlation coefficient. achieved 78.82% 97.41% respectively Regression.