ARTIFICIAL NEURAL NETWORK APPROACH FOR OBESITY-HYPERTENSION CLASSIFICATION

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

Autores

Octavian Postolache (Autor) Outra; Joaquim Gabriel Magalhães Mendes (Autor) FEUP; Gabriela Postolache (Autor) Outra; Pedro Girão (Autor) Outra

Editora

Institute for Systems and Technologies of Information, Control and Communication

Setúbal

Conferência Internacional

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 Proceedings

INSPEC

Classificação Científica

CORDIS: Ciências da Saúde > Ciências Médicas > Medicina > Doenças relacionadas com a nutrição

Outras Informações

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: Português

Tipo (Avaliação Docente): Científica

Nº de páginas: 7

ISBN: 978-989-8111-65-4