Fuzzy obesity index MAFOI for obesity evaluation and bariatric surgery indicationReport as inadecuate




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Journal of Translational Medicine

, 9:134

First Online: 14 August 2011Received: 05 July 2011Accepted: 14 August 2011DOI: 10.1186-1479-5876-9-134

Cite this article as: Miyahira, S.A., de Azevedo, J.L.M.C. & Araújo, E. J Transl Med 2011 9: 134. doi:10.1186-1479-5876-9-134

Abstract

BackgroundThe Miyahira-Araujo Fuzzy Obesity Index MAFOI for being used as an alternative in bariatric surgery indication BSI is validated in this paper. The search for a more accurate method to evaluate obesity and to indicate a better treatment is important in the world health context. Body mass index BMI is considered the main criteria for obesity treatment and BSI. Nevertheless, the fat excess related to the percentage of Body Fat %BF is actually the principal harmful factor in obesity disease that is usually neglected. The aim of this research is to validate a previous fuzzy mechanism by associating BMI with %BF that yields the Miyahira-Araujo Fuzzy Obesity Index MAFOI for obesity evaluation, classification, analysis, treatment, as well for better indication of surgical treatment.

MethodsSeventy-two patients were evaluated for both BMI and %BF. The BMI and %BF classes are aggregated yielding a new index MAFOI. The input linguistic variables are the BMI and %BF, and the output linguistic variable is employed an obesity classification with entirely new types of obesity in the fuzzy context, being used for BSI, as well.

ResultsThere is gradual and smooth obesity classification and BSI criteria when using the Miyahira-Araujo Fuzzy Obesity Index MAFOI, mainly if compared to BMI or %BF alone for dealing with obesity assessment, analysis, and treatment.

ConclusionThe resulting fuzzy decision support system MAFOI becomes a feasible alternative for obesity classification and bariatric surgery indication.

Electronic supplementary materialThe online version of this article doi:10.1186-1479-5876-9-134 contains supplementary material, which is available to authorized users.

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Author: Susana Abe Miyahira - João Luiz Moreira Coutinho de Azevedo - Ernesto Araújo

Source: https://link.springer.com/







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