Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology

Detalhes bibliográficos
Autor(a) principal: Veiga, Rafael Valente
Data de Publicação: 2018
Outros Autores: Barbosa, Helio José Correa, Bernardino, Heder Soares, Freitas, João M, Feitosa, Caroline Alves, Matos, Sheila Maria Alvim de, Neves, Neuza Maria Alcântara, Barreto, Maurício Lima
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/28207
Resumo: Wellcome Trust (grant 072405/Z/03/Z). The Wellcome Trust was not involved in the design of the study, analysis, and interpretation of data, and in writing the manuscript. The following agencies from the brazilian government gave support to the researchers: CAPES, CNPq (grant 310778/2013-1), FAPEMIG (grant APQ-03414-15). RVV acknowledges a PhD scholarship from CAPES and is currently recipient of a post-doctorate grant from CNPq (438732/2016-2).
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spelling Veiga, Rafael ValenteBarbosa, Helio José CorreaBernardino, Heder SoaresFreitas, João MFeitosa, Caroline AlvesMatos, Sheila Maria Alvim deNeves, Neuza Maria AlcântaraBarreto, Maurício Lima2018-08-17T13:00:47Z2018-08-17T13:00:47Z2018VEIGA, R. V. et al. Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology. BMC Bioinformatics, v. 19, n. 245, p. 1-16, 2018.1471-2105https://www.arca.fiocruz.br/handle/icict/2820710.1186/s12859-018-2233-zWellcome Trust (grant 072405/Z/03/Z). The Wellcome Trust was not involved in the design of the study, analysis, and interpretation of data, and in writing the manuscript. The following agencies from the brazilian government gave support to the researchers: CAPES, CNPq (grant 310778/2013-1), FAPEMIG (grant APQ-03414-15). RVV acknowledges a PhD scholarship from CAPES and is currently recipient of a post-doctorate grant from CNPq (438732/2016-2).Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para a Saúde. Salvador, BA, Brasil / Universidade Federal de Juiz de Fora. Juiz de Fora, MG, Brasil.Universidade Federal de Juiz de Fora. Juiz de Fora, MG, Brasil / Laboratório Nacional de Computação Científica. Petrópolis, RJ, Brasil.Universidade Federal de Juiz de Fora. Juiz de Fora, MG, Brasil.Universidade Federal de Juiz de Fora. Juiz de Fora, MG, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Savador, BA, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Savador, BA, Brasil.Universidade Federal da Bahia. Instituto de Ciências da Saúde. Savador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para a Saúde. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Saúde Coletiva. Savador, BA, Brasil.Asthma and allergies prevalence increased in recent decades, being a serious global health problem. They are complex diseases with strong contextual influence, so that the use of advanced machine learning tools such as genetic programming could be important for the understanding the causal mechanisms explaining those conditions. Here, we applied a multiobjective grammar-based genetic programming (MGGP) to a dataset composed by 1047 subjects. The dataset contains information on the environmental, psychosocial, socioeconomics, nutritional and infectious factors collected from participating children. The objective of this work is to generate models that explain the occurrence of asthma, and two markers of allergy: presence of IgE antibody against common allergens, and skin prick test positivity for common allergens (SPT). Results: The average of the accuracies of the models for asthma higher in MGGP than C4.5. IgE were higher in MGGP than in both, logistic regression and C4.5. MGGP had levels of accuracy similar to RF, but unlike RF, MGGP was able to generate models that were easy to interpret. Conclusions: MGGP has shown that infections, psychosocial, nutritional, hygiene, and socioeconomic factors may be related in such an intricate way, that could be hardly detected using traditional regression based epidemiological techniques. The algorithm MGGP was implemented in c ++ and is available on repository: http://bitbucket.org/cimlufjf/ciml-lib.engBioMed CentralProgramação genética,AsmaAlergiaClassificadorMultiobjetivoGenetic programmingAsthmaAllergyClassifierMultiobjectiveMultiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiologyinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/28207/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALVeiga RV Multiobjective grammar-based genetic.....pdfVeiga RV Multiobjective grammar-based 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dc.title.pt_BR.fl_str_mv Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology
title Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology
spellingShingle Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology
Veiga, Rafael Valente
Programação genética,
Asma
Alergia
Classificador
Multiobjetivo
Genetic programming
Asthma
Allergy
Classifier
Multiobjective
title_short Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology
title_full Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology
title_fullStr Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology
title_full_unstemmed Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology
title_sort Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology
author Veiga, Rafael Valente
author_facet Veiga, Rafael Valente
Barbosa, Helio José Correa
Bernardino, Heder Soares
Freitas, João M
Feitosa, Caroline Alves
Matos, Sheila Maria Alvim de
Neves, Neuza Maria Alcântara
Barreto, Maurício Lima
author_role author
author2 Barbosa, Helio José Correa
Bernardino, Heder Soares
Freitas, João M
Feitosa, Caroline Alves
Matos, Sheila Maria Alvim de
Neves, Neuza Maria Alcântara
Barreto, Maurício Lima
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Veiga, Rafael Valente
Barbosa, Helio José Correa
Bernardino, Heder Soares
Freitas, João M
Feitosa, Caroline Alves
Matos, Sheila Maria Alvim de
Neves, Neuza Maria Alcântara
Barreto, Maurício Lima
dc.subject.other.pt_BR.fl_str_mv Programação genética,
Asma
Alergia
Classificador
Multiobjetivo
topic Programação genética,
Asma
Alergia
Classificador
Multiobjetivo
Genetic programming
Asthma
Allergy
Classifier
Multiobjective
dc.subject.en.pt_BR.fl_str_mv Genetic programming
Asthma
Allergy
Classifier
Multiobjective
description Wellcome Trust (grant 072405/Z/03/Z). The Wellcome Trust was not involved in the design of the study, analysis, and interpretation of data, and in writing the manuscript. The following agencies from the brazilian government gave support to the researchers: CAPES, CNPq (grant 310778/2013-1), FAPEMIG (grant APQ-03414-15). RVV acknowledges a PhD scholarship from CAPES and is currently recipient of a post-doctorate grant from CNPq (438732/2016-2).
publishDate 2018
dc.date.accessioned.fl_str_mv 2018-08-17T13:00:47Z
dc.date.available.fl_str_mv 2018-08-17T13:00:47Z
dc.date.issued.fl_str_mv 2018
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv VEIGA, R. V. et al. Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology. BMC Bioinformatics, v. 19, n. 245, p. 1-16, 2018.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/28207
dc.identifier.issn.pt_BR.fl_str_mv 1471-2105
dc.identifier.doi.none.fl_str_mv 10.1186/s12859-018-2233-z
identifier_str_mv VEIGA, R. V. et al. Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology. BMC Bioinformatics, v. 19, n. 245, p. 1-16, 2018.
1471-2105
10.1186/s12859-018-2233-z
url https://www.arca.fiocruz.br/handle/icict/28207
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv BioMed Central
publisher.none.fl_str_mv BioMed Central
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
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instacron_str FIOCRUZ
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