Development of a Fuzzy Logic-based Model for Monitoring Cardiovascular Risk

Peter Adebayo Idowu, Sarumi Olusegun Ajibola, Jeremiah Ademola Balogun and Oluwadare Ogunlade
Additional contact information
Peter Adebayo Idowu: Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria
Sarumi Olusegun Ajibola: Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria
Jeremiah Ademola Balogun: Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria
Oluwadare Ogunlade: Department of Physiological Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria

International Journal of Healthcare Information Systems and Informatics (IJHISI), 2015, vol. 10, issue 4, 38-55

Abstract: Cardiovascular diseases (CVD) are top killers with heart failure as one of the most leading cause of death in both developed and developing countries. In Nigeria, the inability to consistently monitor the vital signs of patients has led to the hospitalization and untimely death of many as a result of heart failure. Fuzzy logic models have found relevance in healthcare services due to their ability to measure vagueness associated with uncertainty management in intelligent systems. This study aims to develop a fuzzy logic model for monitoring heart failure risk using risk indicators assessed from patients. Following interview with expert cardiologists, the different stages of heart failure was identified alongside their respective indicators. Triangular membership functions were used to fuzzify the input and output variables while the fuzzy inference engine was developed using rules elicited from cardiologists. The model was simulated using the MATLAB® Fuzzy Logic Toolbox.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJHISI.2015100103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jhisi0:v:10:y:2015:i:4:p:38-55

Access Statistics for this article

International Journal of Healthcare Information Systems and Informatics (IJHISI) is currently edited by Qiang (Shawn) Cheng

More articles in International Journal of Healthcare Information Systems and Informatics (IJHISI) from IGI Global
Bibliographic data for series maintained by Journal Editor ().