Factors Affecting Heart Diseases through Logistic Linear and Nonlinear Regression

Factors Affecting Heart Diseases through Logistic Linear and Nonlinear Regression
Authors : Dr. Jihad Alfarajat, Dr. Mohammad Alalaya
Publication Date: 17-08-2017


Author(s):  Dr. Jihad Alfarajat, Dr. Mohammad Alalaya

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 6 - Issue. 07 , July - 2017

e-ISSN:   2278-0181


This paper aims to investigate the effects of some factors which affect heart diseases such as fatty diet, hypertension, diabetes, gender, smoking, family history of heart disease and overweight in patients data of Jordanian hospitals. The data and statements were established through the medical record sheets of patients who were admitted to the hospitals in Jordan, the sample was collected from three regions of Jordan south, north and middle area. Log-linear models analyses method has been used to analyze data, likelihood chi-square, Pearson chi-square and odds ratio to ensure the model which choose three variables in each. And logistic regression has been used to estimate the coefficients of these factors of heart disease. We have found that likelihood ratio chi – square, Pearson chi- square, odds ratio are significant, all models of 3way &higher, FT-SR are greater than 1.96 of the normal distribution, these results give assign that all of them together as the group of factors are the causes of heart disease.


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