Web-Based Decision Support System for Coronary Heart Disease Diagnosis.
Journal:
Advances in experimental medicine and biology
Published Date:
Jan 1, 2021
Abstract
Coronary heart disease is a serious and common disease that affects a large part of the population. There is a tendency to use machine learning techniques for the punctual and valid diagnosis, which can determine the effectiveness of treatment and the health of the individual. In this paper, we apply popular machine learning algorithms, achieving satisfactory performance (over 70%), coinciding with corresponding studies in the literature and at some points overriding them. Moreover, we provide a user-friendly web-based decision support system, which is suitable for specialized medical staff and, based on some easily accessible and available data, contributes to the diagnosis of the disease.