Inferential Study Identifying Factors Associated with Heart Diseases

The project identifies factors associated with heart disease by analyzing demographic and health factors using permutation and Chi-Squared tests. By the end of this study age, maximum heart rate achieved, and ST depression induced by exercise were found to be significantly associated with heart disease.

Authors

Affiliation

Stepan Zaiatc

University of British Columbia

Kelly Wu

University of British Columbia

Bruce Wu

University of British Columbia

Zilong Yi

University of British Columbia

Code Source Final Report

Summary

inferential_study_heart_attack Github Repo Structure

The project aimed at determining the relationship between heart disease probability and demographic/health factors such as age, sex, chest pain type, and cholesterol levels. Hypothesis testing was performed using permutation tests for numerical variables like age and electrocardiography (ECG) results such as maximum heart rate achieved and ST depression induced by exercise relative to rest. The Chi-Squared Test was used for categorical variables in contingency table analysis. Results indicated that heart disease patients have higher average age, lower maximum heart rate achieved, and higher ST depression induced by exercise relative to rest compared to non-heart disease patients. Other factors associated with heart disease include sex, chest pain type, exercise-induced angina, slope of the peak exercise ST segment, number of major vessels, and defect type.