Survival Model for Identifying the Influencing Factors of Heart Disease

Volume 20 No 9 (2022)

R. Mahalakshmi, K. Senthamarai Kannan

DOI: 10.14704/nq.2022.20.9.NQ44695

Abstract

The early prognosis of cardiovascular disease and which factor decreases the life span of the heart failure patients at most will help us to decreases the deaths due to heart failure. The main objective of this paper is to fit a cox regression model for identify the factors which influence the life span of heart disease people. Also, we used survival analysis techniques to find out which factor decreases the life span of the heart failure patients for this dataset

Keywords

Survival Model, CVD and Cox Regression

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