A statistical study to determine the most important factors affecting (heart disease)‎ using factor analysis

Abstract EN

This study has conducted for the purpose of defining the most influential factors for the occurrences of the heart disease in a group of patient during the classification and specification of the most significant ones of the variables with the realization of each variable and its influence on each other in the study, as well as the classifying relation among these variables were described through practicing on the analytical part which is called the factor analysis by using the method of principal axis factor on the heart data.

This work reached out and finished with some conclusions among the most prominent ones are the ability to classify the variables into six group or major heterogeneity among themselves that influence the occurrence of the diseases.

We also conclude that those variables that cause heart failure, which are serum creatinine, serum sodium, platelets, ejection fraction (cardiac output), sex and smoking, and also monitoring the time of disease occurrence in patients with the doctor.