Optimization of fuzzy systems for risk factors in the prevention of cardiovascular diseases
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Full Text |
Pdf
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Author |
Hanna Villamil, Lilian Bejarano and Helbert Espitia
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e-ISSN |
1819-6608 |
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On Pages
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949-955
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Volume No. |
18
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Issue No. |
08
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Issue Date |
June 15, 2023
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DOI |
https://doi.org/10.59018/0423125
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Keywords |
system, diseases, classification, risk, setting, health, BMI, fuzzy logic, optimization.
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Abstract
Obesity and overweight are the most common cardiovascular risk factors in people who have suffered myocardial infarction. They are also considered a threat to health worldwide. People with obesity have twice the risk of suffering heart failure than people with a normal body mass index. In this paper, fuzzy logic models which are optimized are proposed to detect risk factors for heart disease according to age and body mass index.
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