ARTIFICIAL NEURAL NETWORK APPROACH FOR OBESITY-HYPERTENSION CLASSIFICATION

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2009

Autores

Postolache, O (Autor) Outra; Joaquim Mendes (Autor) FEUP; Postolache, G (Autor) Outra; Girao, PS (Autor) Outra

Ata de Conferência Internacional

Título: ARTIFICIAL NEURAL NETWORK APPROACH FOR OBESITY-HYPERTENSION CLASSIFICATION

Páginas: 514-520

BIOSTEC 2009 - Second International Joint Conference on Biomedical Engineering Systems and Technologies

Vila Nova de Gaia, Portugal, 14 a 17 de Janeiro de 2009

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-003-PA6

Abstract (EN): One of the newest targets of public health is management of obesity-hypertension. In this paper is presented the use of an artificial neural network based model for objective classification of obesity-hypertension. Different neural network architectures as part of hybrid processing scheme including comparators and competitive processing blocks were developed and tested. The neural network functionality is the classification of the individuals according to the obesity risks. The results show that the neural network classifier is consistent with the standard criteria suggested by the obesity and hypertension guidelines.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7