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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Fuzzy obesity index (MAFOI) for obesity evaluation and bariatric surgery indication | Miyahira et al. Journal of Translational Medicine 2011 9 134 http www.translational-medicine.eom content 9 1 134 JOURNAL OF TRANSLATIONAL MEDICINE RESEARCH Open Access Fuzzy obesity index MAFOI for obesity evaluation and bariatric surgery indication Susana Abe Miyahira1 2 3 João Luiz Moreira Coutinho de Azevedo 1 and Ernesto Araujo1 2 3 Abstract Background The 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. Methods Seventy-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. Results There 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. Conclusion The resulting fuzzy decision support system MAFOI becomes a feasible alternative for obesity classification and bariatric surgery indication. Background The clinical conditions that are characterized as overweight pre-obesity and obesity are currently a universal epidemic of .
