Analysis of Health Indicators for Heart Disease Based on Formal Concept Analysis

Laura Xavier, Julio Neves, Luiz Zarate, Mark Song

2025

Abstract

This study addresses the global concern of cardiovascular health by analyzing key risk factors such as high blood pressure, cholesterol levels, and smoking habits, which contribute to the onset of heart disease. Using Formal Concept Analysis (FCA), a mathematical framework for uncovering relationships in complex datasets, this research examines a health dataset of over 200,000 records to identify critical behavioral and health indicators related to cardiovascular problems. Although 80 association rules were extracted, 12 were selected for detailed analysis due to their significance in both risk and protective factors. Key findings reveal strong correlations between physical inactivity, poor dietary habits, and the likelihood of heart disease, providing actionable insights for healthcare professionals and policymakers. This study aims to deepen the understanding of cardiovascular risk factors and support the development of more effective prevention measures to improve global health outcomes.

Download


Paper Citation


in Harvard Style

Xavier L., Neves J., Zarate L. and Song M. (2025). Analysis of Health Indicators for Heart Disease Based on Formal Concept Analysis. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-731-3, SciTePress, pages 540-547. DOI: 10.5220/0013158100003911


in Bibtex Style

@conference{healthinf25,
author={Laura Xavier and Julio Neves and Luiz Zarate and Mark Song},
title={Analysis of Health Indicators for Heart Disease Based on Formal Concept Analysis},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2025},
pages={540-547},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013158100003911},
isbn={978-989-758-731-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Analysis of Health Indicators for Heart Disease Based on Formal Concept Analysis
SN - 978-989-758-731-3
AU - Xavier L.
AU - Neves J.
AU - Zarate L.
AU - Song M.
PY - 2025
SP - 540
EP - 547
DO - 10.5220/0013158100003911
PB - SciTePress