Providing sustainable living through early detection of metabolic syndrome
AbstractThe non-healthy lifestyle of the people in developed countries is one of the reasons for higher amounts of atherosclerosis and diabetes type 2, which are related to a metabolic syndrome. This paper proposes an intelligent system for the early, unobtrusive detection of metabolic syndrome in order to support sustainable environments for todayâ€™s and tomorrowâ€™s generations. An implementation of Fuzzy ARTMAP Neural Network for diagnosis of Metabolic Syndrome is presented. It allows classifying H NMR serum spectra into five classes, from healthy person to person with Metabolic Syndrome. Using â€œVoting strategyâ€ it gains an ability to classify samples with a confidence value.
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How to Cite
POGORELC, Bogdan. Providing sustainable living through early detection of metabolic syndrome. International SERIES on Information Systems and Management in Creative eMedia (CreMedia), [S.l.], n. 2013/2, p. 21-25, aug. 2013. ISSN 2341-5576. Available at: <http://www.ambientmediaassociation.org/Journal/index.php/series/article/view/45>. Date accessed: 03 aug. 2020.
Sustainable living; early detection; metabolic syndrome; neural network; Fuzzy Artmap.
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