Using Multinomial Logistic Regression model to study factors that affect chest pain

Abstract

In this work Logistic Regression model was utilized which is one of the significant techniques for categorical data analysis, the purpose of this study to distinguish a use of Multinomial Logistic Regression method when model arrangements one (nominal/ordinal) response variable that has multiple classifications, regardless of whether nominal or ordinal variable. This  method has been applied in medical area and for application the data for heart disease was taken, the data that contains nine variables such as (Chest Pain, Age, Sex, Cholesterol, Fasting Blood Sugar, Thalac "Maximum Heart Rate", Exercise, Oldpeak "ST Segment Depression induced by Exercise relative to rest" and Blood Pressure). Where the Chest Pain is the Response variable and the eight other variables are explanatory variables, after analyzing the data we conclude that there are many significant variables in each reference categories in the model, specifically (Thalac "Maximum Heart Rate" and Exercise) were significant in each different categories in the Multinomial Logistic Regression Model.