Adeola Olaniyan | A Comparison of Machine Learning Techniques in Predicting 10-Year Risk of Coronary Heart Disease

This study uses different supervised machine learning techniques to build predictive models to predict the 10-year risk of coronary heart disease. It also compares, identifies, and selects the model with the least test error rate and the highest prediction accuracy.

Faculty Mentor: Dr. Rebecca Pierce

Department of Mathematical Sciences