تقدير و تحليل العوامل المؤثرة في احتمالات الإصابة بأمراض القلب و التنبؤ بها باستخدام نموذج لانحدار اللوجستي

الملخص EN

In this study, the logistic model was estimated to predict the risk of heart disease based on the factors affecting the infection (patient sex, age of the patient, smoking, and blood pressure).

The study problem found that heart disease is one of the most dangerous diseases to human life.

Of the complications that lead to death, in terms of what risk factors can, and cannot be controlled.

Therefore, the study aimed to identify the most important statistical methods in the analysis of data of heart patients and determine the most important in the impact of the variables of class, and can be important in how to implement the forecasts after obtaining the best logistic model.

The study concluded that the logistic regression analysis method showed that blood pressure was one of the most important factors affecting the incidence of heart disease.

The estimated model is excellent in the classification of patients to infected and uninfected by 91.7% and very good in predicting the risk of infection and the contributing factors contribute 81.1% in the interpretation of variable injury outcome, the higher the age with hypertension the higher the incidence rate.