Fuzzy logic for arterial hypertension classification

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Abstract

One of the most dangerous diseases for humans is the high blood pressure (HBP) or hypertension, which is a kind of disease that often leads to fatal outcomes, such as heart attack, stroke and renal failure. The HBP seriously threats the health of people worldwide. One of the dangerous aspects is that people may not know that they have it. In fact, nearly one-third of people who have high blood pressure don’t know it. The only way to know if the blood pressure is high is through the regular checkups. Therefore, we have developed a Fuzzy System for the diagnosis of the HBP. Firstly, the input parameters include Systolic Blood Pressure and Diastolic Blood Pressure. Secondly, we have as an output parameter: Blood Pressure Levels (BPL). The input linguistic values include Low, Normal Low, Normal, Normal High, High, Very High, Too High and Isolated Systolic Hypertension. Finally, we have 14 fuzzy rules to determine out diagnosis.

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Melin, P., & Prado-Arechiga, G. (2018). Fuzzy logic for arterial hypertension classification. In SpringerBriefs in Applied Sciences and Technology (pp. 5–13). Springer Verlag. https://doi.org/10.1007/978-3-319-61149-5_2

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