Author(s)

Yijie Nie

Corresponding Author

Yijie Nie

Abstract

Cardiovascular diseases have been a global focus for decades of years. Heart attack, one of the possible signs of cardiovascular diseases, is also a concern. This study aims to show whether there are risk factors that could predict heart attack. Specifically, it investigates whether there is a relationship between variables and the possibility of having a heart attack. To test the hypothesis that five variables-age, gender, cholesterol value, resting electrocardiographic results, and the chest pain types-could predict heart attack, a dataset containing 303 subjects collected from four databases was analyzed by Tableau. The results showed that part of the hypothesis was true-gender, resting electrocardiographic results, and the chest pain types correlate with the probability of heart attack.

Keywords

Heart attack, Prediction, Data analysis