%0 Journal Article
%4 sid.inpe.br/mtc-m19@80/2009/12.14.16.52
%2 sid.inpe.br/mtc-m19@80/2009/12.14.16.52.16
%@doi 10.1007/978-3-642-02478-8_132
%T Classification of schistosomiasis prevalence using fuzzy case-based reasoning
%D 2009
%9 journal article
%A Martins-Bedé, Flávia de Toledo,
%A Godo, L.,
%A Sandri, Sandra Aparecida,
%A Dutra, Luciano Vieira,
%A Freitas, Corina da Costa,
%A Carvalho, O. S.,
%A Guimarães, R. J. P. S.,
%A Amaral, R. S.,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Institut d'Investigació en Intelligència Artificial
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation
%@affiliation Centro de Pesquisas René Rachou/FIOCRUZ
%@affiliation Centro de Pesquisas René Rachou/FIOCRUZ
%@affiliation Secretaria de Vigilância em Saúde
%B Lecture Notes in Computer Science
%V 5517
%N Part 1
%P 1053-1060
%K CBr, Fuzzy case-based reasonings, Minas Gerais, Backpropagation, Case based reasoning, Neural networks.
%X In this work we propose the use of a similarity-based fuzzy CBR approach to classify the prevalence of Schistosomiasis in the state of Minas Gerais in Brazil.
%@language en
%3 www.iiia.csic.es_files_pdfs_iwann09-482-flavia.pdf