Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados Nature Precedings (3) Autor Joao L. M. C. Azevedo (3) Susana A. Miyahira (2) Glicia C. Azevedo (1) Gustavo P. S. Miguel (1) Joao L. C. Azevedo (1) José E. Araujo Filho (1) Jose E. Araujo Jr. (1) Lucas P. F. F. Leal (1) Otavio C. Azevedo (1) Otavio M. Becker Jr. (1) Mais... Palavra-chave Developmental Biology (2) Molecular Cell Biology (2) Bioinformatics (1) Biotechnology (1) Tipo do documento Manuscript (3) Ano 2011 (3) País United Kingdom (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última Fuzzy logic as a decision-making support system for the indication of bariatric surgery based on an index (OBESINDEX) generated by the association between body fat and body mass index Nature Precedings Joao L. M. C. Azevedo; Susana A. Miyahira; Lucas P. F. F. Leal; Glicia C. Azevedo; Otavio C. Azevedo; Joao L. C. Azevedo; Gustavo P. S. Miguel. Background: A Fuzzy Obesity Index (OBESINDEX) for use as an alternative in bariatric surgery indication (BSI) is presented. The search for a more accurate method to evaluate obesity and to indicate a better treatment is important in the world health context. BMI (body mass index) 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. This paper presents a new fuzzy mechanism for evaluating obesity by associating BMI with %BF that yields a fuzzy obesity index for obesity evaluation and treatment and allows building up a Fuzzy Decision Support System (FDSS) for... Tipo: Manuscript Palavras-chave: Developmental Biology; Molecular Cell Biology. Ano: 2011 URL: http://precedings.nature.com/documents/5516/version/1 Fuzzy logic as a decision-making support system for the indication of bariatric surgery based on an index (MAFOI) generated by the association between body fat and body mass index. Nature Precedings Susana A. Miyahira; Joao L. M. C. Azevedo; José E. Araujo Filho. Background: A fuzzy obesity index (MAFOI) for use as an alternative to bariatric surgery indication (BSI) is presented. The search for a more accurate method to evaluate obesity and to indicate a better treatment is important in the world health context. BMI (body mass index) 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. This paper presents a new fuzzy mechanism for evaluating obesity by associating BMI with %BF that yields a fuzzy obesity index for obesity evaluation and treatment and allows building up a Fuzzy Decision Support System (FDSS) for BSI. Methods: Seventy-two patients... Tipo: Manuscript Palavras-chave: Developmental Biology; Molecular Cell Biology. Ano: 2011 URL: http://precedings.nature.com/documents/5516/version/2 Laparoscopy Pneumoperitoneum Fuzzy Modeling Nature Precedings Otavio M. Becker Jr.; Jose E. Araujo Jr.; Joao L. M. C. Azevedo. Abstract: Gas volume to intra-peritoneal pressure fuzzy modeling for evaluating pneumoperitoneum in videolaparoscopic surgery is proposed in this paper. The proposed approach innovates in using fuzzy logic and fuzzy set theory for evaluating the accuracy of the prognosis value in order to minimize or avoid iatrogenic injuries due to the blind needle puncture. In so doing, it demonstrates the feasibility of fuzzy analysis to contribute to medicine and health care. Fuzzy systems is employed here in synergy with artificial neural network based on backpropaga tion, multilayer perceptron architecture for building up numerical functions. Experimental data employed for analysis were collected in the accomplishment of the pneumoperitoneum in a random population of... Tipo: Manuscript Palavras-chave: Biotechnology; Bioinformatics. Ano: 2011 URL: http://precedings.nature.com/documents/6060/version/1 Registros recuperados: 3 Primeira ... 1 ... Última

Empresa Brasileira de Pesquisa Agropecuária - Embrapa Todos os direitos reservados, conforme Lei n° 9.610 Política de Privacidade Área restrita		Embrapa Parque Estação Biológica - PqEB s/n° Brasília, DF - Brasil - CEP 70770-901 Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco