Web-Based Decision Support System for Coronary Heart Disease Diagnosis

Aikaterini Georgia Alvanou; Andreana Stylidou; Themis P Exarchos

doi:10.1007/978-3-030-78775-2_5

Web-Based Decision Support System for Coronary Heart Disease Diagnosis

Adv Exp Med Biol. 2021:1338:31-38. doi: 10.1007/978-3-030-78775-2_5.

Authors

Aikaterini Georgia Alvanou¹, Andreana Stylidou¹, Themis P Exarchos²

Affiliations

¹ Department of Informatics, Ionian University, Corfu, Greece.
² Department of Informatics, Ionian University, Corfu, Greece. exarchos@ionio.gr.

PMID: 34973007
DOI: 10.1007/978-3-030-78775-2_5

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.

Keywords: Coronary heart disease diagnosis; Decision support systems; Machine learning.

MeSH terms

Algorithms
Coronary Disease* / diagnosis
Diagnostic Techniques, Cardiovascular
Humans
Internet
Machine Learning*