On Predicting the Survival of Cancer Patients Using Statistical and Machine Learning Algorithms

Abstract

Machine learning algorithms and Statistical Methods are used potentially nowadays in various biological problems, in particular, predicting patients’ survival from their data on various parameters.However, the choice between the selection of statistical procedures or Machine learning procedures depends on various factors like the nature of the problem, main objectives and the data frame etc.  The present work is aimed to compare statistical and machine learning methods with reference to regression for prediction. The data taken is regarding Heart failure among cardiac patients. The methods of comparison include the Logistic Regression (LR) and the Support Vector machine (SVM).