Prevalence of Cardiovascular Disease Risk

Abstract

At the worldwide level, heart disease is the leading cause of death. The primary goals of this study were to look into cardiac risk variables in datasets available on Kaggle. The data included 303 people, 138 of whom had cardiac disease and 165 of whom did not. Age, gender, chest pain, resting blood pressure, cholesterol level, fast blood sugar, electrocardiogram at rest, maximum heart rate during the stress test, angina during exercise, old peak, slope of the ST segment, result of the blood flow observed with radioactive dye, and number of main blood vessels colored by the radioactive dye were all included in the dataset. Descriptive analysis includes means and standard deviations for non-classified variables, as well as frequencies and percentages for categorized variables. The independent T test was used to assess the associations between variables. If 0.05, significance was considered. Except for cholesterol and rapid blood sugar, all of the variables listed above were found to be strongly linked with heart disease. When rapid blood sugar and cholesterol readings are combined, they should be evaluated with caution due to their participation as risk factors for cardiovascular disease.