A Comparative Study for Efficient Covid-19 Detecting Machine Learning Models on CT Images

Covid19 has impacted the whole world drastically, Lakhs of people are getting infected every day and thus it's difficult to detect Covid infection in huge population. Main cause death due is lungs. Infection lungs detected by CT-Scans Lungs, but since doctors need time analyze CT-Scan also, they can't do it 24 into 7. Hence, many who extra medical care for lungs, wait analysis that whether their or not. Here paper, tried make an efficient Machine Learning Model which could order reduce human resource (time taken lung CT-Scan) so needy patients would be started with corresponding treatments more quickly. It may save lives. analyzing CT-scans using SVM classifier, Logistic regressions classifier learning perceptron two approaches preprocessing pixel values then results have been compared. Dataset used purpose, kaggle dataset (Covid-19 Lung CT Scan.