Development of a Fuzzy Logic-based Model for Monitoring Cardiovascular Risk
vol:2015 issue no:10(4):38-55 doi:10.4018/IJHISI.2015100103 p.54
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| Główni autorzy: | , , |
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| Format: | Czasopismo |
| Język: | en_US |
| Wydane: |
2023
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ir.oauife.edu.ng/123456789/5506 |
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| _version_ | 1810764580101554176 |
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| author | idowu, PETER ADEBAYO balogun, JEREMIAH ADEMOLA ogunlade, oluwadare |
| author_facet | idowu, PETER ADEBAYO balogun, JEREMIAH ADEMOLA ogunlade, oluwadare |
| author_sort | idowu, PETER ADEBAYO |
| collection | DSpace |
| description | vol:2015
issue no:10(4):38-55
doi:10.4018/IJHISI.2015100103
p.54 |
| format | Journal |
| id | oai:ir.oauife.edu.ng:123456789-5506 |
| institution | My University |
| language | en_US |
| publishDate | 2023 |
| record_format | dspace |
| spelling | oai:ir.oauife.edu.ng:123456789-55062023-05-13T18:08:10Z Development of a Fuzzy Logic-based Model for Monitoring Cardiovascular Risk idowu, PETER ADEBAYO balogun, JEREMIAH ADEMOLA ogunlade, oluwadare fuzzy logic cardiovascular disease monitoring system heart failure risk modelling vol:2015 issue no:10(4):38-55 doi:10.4018/IJHISI.2015100103 p.54 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. 2023-05-13T17:50:50Z 2023-05-13T17:50:50Z 2015-10 Journal https://ir.oauife.edu.ng/123456789/5506 en_US application/pdf |
| spellingShingle | fuzzy logic cardiovascular disease monitoring system heart failure risk modelling idowu, PETER ADEBAYO balogun, JEREMIAH ADEMOLA ogunlade, oluwadare Development of a Fuzzy Logic-based Model for Monitoring Cardiovascular Risk |
| title | Development of a Fuzzy Logic-based Model for Monitoring Cardiovascular Risk |
| title_full | Development of a Fuzzy Logic-based Model for Monitoring Cardiovascular Risk |
| title_fullStr | Development of a Fuzzy Logic-based Model for Monitoring Cardiovascular Risk |
| title_full_unstemmed | Development of a Fuzzy Logic-based Model for Monitoring Cardiovascular Risk |
| title_short | Development of a Fuzzy Logic-based Model for Monitoring Cardiovascular Risk |
| title_sort | development of a fuzzy logic based model for monitoring cardiovascular risk |
| topic | fuzzy logic cardiovascular disease monitoring system heart failure risk modelling |
| url | https://ir.oauife.edu.ng/123456789/5506 |
| work_keys_str_mv | AT idowupeteradebayo developmentofafuzzylogicbasedmodelformonitoringcardiovascularrisk AT balogunjeremiahademola developmentofafuzzylogicbasedmodelformonitoringcardiovascularrisk AT ogunladeoluwadare developmentofafuzzylogicbasedmodelformonitoringcardiovascularrisk |