Diagnosing Coronary Heart Disease using Ensemble Machine Learning

Kathleen H,George J,Julia H

doi:10.14569/ijacsa.2016.071004

Abstract

Globally, heart disease is the leading cause of death for both men and women. One in every four people is afflicted with and dies of heart disease. Early and accurate diagnoses of heart disease thus are crucial in improving the chances of long-term survival for patients and saving millions of lives. In this research, an advanced ensemble machine learning technology, utilizing an adaptive Boosting algorithm, is developed for accurate coronary heart disease diagnosis and outcome predictions. The developed ensemble learning classification and prediction models were applied to 4 different data sets for coronary heart disease diagnosis, including patients diagnosed with heart disease from Cleveland Clinic Foundation (CCF), Hungarian Institute of Cardiology (HIC), Long Beach Medical Center (LBMC), and Switzerland University Hospital (SUH). The testing results showed that the developed ensemble learning classification and prediction models achieved model accuracies of 80.14% for CCF, 89.12% for HIC, 77.78% for LBMC, and 96.72% for SUH, exceeding the accuracies of previously published research. Therefore, coronary heart disease diagnoses derived from the developed ensemble learning classification and prediction models are reliable and clinically useful, and can aid patients globally, especially those from developing countries and areas where there are few heart disease diagnostic specialists.

Highlights

Heart disease is the leading cause of death for both men and women [1], with more than half of the deaths occurring in men
The proposed ensemble learning classification and prediction models were applied to 4 different data sets for coronary heart disease diagnosis
With data collected from four different medical institutions, these 4 data sets contain clinical instances of patients diagnosed with heart disease: 303 instances from the Clinic Foundation (CCF), 294 instances from the Hungarian Institute of Cardiology (HIC), 200 instances from the Long Beach Medical Center (LBMC), and 123 instances from the Switzerland University Hospital (SUH)

Summary

Introduction

Heart disease is the leading cause of death for both men and women [1], with more than half of the deaths occurring in men. One in every four people is afflicted with and dies of heart disease, and in the United States, over 610,000 afflicted Americans lose their lives annually [2]. Heart disease encompasses several types of heart conditions. The most common type of heart condition is coronary heart disease [3], which can cause heart attacks that kill more than 370,000 people every year. In the United States, for every 43 seconds, one person suffers a heart attack, and for every minute one person dies of heart disease [2]. The total annual cost of coronary heart disease, including health care services, medications, and lost productivity, is about $108.9 billion in the United States

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Conclusion