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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