The use of Logistic Regression (LR) and Support Vector Machines (SVM) to identify the survival of Covid 19 patients in a novel way is the prime work. To forecast the survival of Covid-19 patients, The LR algorithm and the SVM algorithm are iterated 20 times with a sample size of 10.In comparison to the 86.4% accuracy of the logistic regression technique, the Support Vector Machine approach offers a 91.2% accuracy. In independent sample T-test, LR has a high level of significance. The range of this study, reveals SVM algorithm aids in data analysis and classifier performance.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 firstname.lastname@example.org
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 email@example.com