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- Title
Development of a Fuzzy Logic-based Model for Monitoring Cardiovascular Risk.
- Authors
Idowu, Peter Adebayo; Ajibola, Sarumi Olusegun; Balogun, Jeremiah Ademola; Ogunlade, Oluwadare
- 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.
- Subjects
CARDIOVASCULAR diseases; FUZZY logic; HOSPITAL care; UNCERTAINTY -- Social aspects; HEART failure patients
- Publication
Journal of Database Management, 2015, p38
- ISSN
1063-8016
- Publication type
Article
- DOI
10.4018/IJHISI.2015100103