Employment survival analysis to study the factors affecting heart attack patients in Marjan hospital/Hilla

The idea of this research is to use survival analysis methods to study the factors affecting the survival of heart attack patients, this type of data deals with time, as the data were taken from Marjan Hospital in the city of Hilla with a sample size of (98) patients. (10) Explanatory variables depending on the factors that have the main role in determining the severity of the disease. As for the response variable: it consists of two parts (survival time and statue). When comparing two methods of survival analysis, we obtained (3) significant variables when using the Cox regression model (Cox1), When using Kaplan and Meier (K-M) method, it was found that there are (7) significant variables. After that, we took only the significant variables that we obtained from using the (K-M) method to obtain another Cox regression (Cox2) model and we got the same significant variables that we obtained in the (Cox1) model in addition to a fourth variable (x1: Age), finally the coefficient of determination was calculated (R2) To find out which of the two models is better between them, the result was that the model (Cox1). Where (R2=72.8%) of the (Cox1) model was better than the (Cox2) model that was (R2=72.5%). Thus, we concluded that each of the variables (x8: Blood pressure, x9: Body mass, x10: Diabetic) has an effect on the survival of heart attack patients.