Abstract
Living better, with health and stay prepared for the challenges on getting older is becoming one of the most concerns for people. In USA, there are studies that have shown that the amount of people living alone or, at most, with just one person, is increasing over the years. Technology products applied for health are receiving prominence because they help those people to achieve their goals. Considering this, the article proposes a multi-agent system architecture that uses IoT devices to monitor patients’ heart signals and, using fuzzy logic process, estimates the level of hypertension, considering systolic pressure, diastolic pressure, age and body mass index. Information of 768 patients were obtained from “Pima Indians Diabetes Data Set” public database and used to evaluate the performance of the presented fuzzy logic model. The results of such fuzzy logic were compared with an evaluation made by accredited nurses, reaching a 94.40% of positive predictiviness in the diagnosis.
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Neto, A.B.L., Andrade, J.P.B., Loureiro, T.C.J., de Campos, G.A.L., Fernandez, M.P. (2018). Fuzzy Logic Applied to eHealth Supported by a Multi-Agent System. In: Barreto, G., Coelho, R. (eds) Fuzzy Information Processing. NAFIPS 2018. Communications in Computer and Information Science, vol 831. Springer, Cham. https://doi.org/10.1007/978-3-319-95312-0_6
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