The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis

Detalhes bibliográficos
Autor(a) principal: Oliveira, Allisson Dantas
Data de Publicação: 2017
Outros Autores: Prats, Clara, Espasa, Mateu, Zarzuela Serrat, Francesc, Montañola Sales, Cristina, Silgado, Aroa, Codina, Daniel Lopez, Arruda, Mercia Eliane, I Prat, Jordi Gomez, Albuquerque, Jones
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/19466
Resumo: Federal Rural University of Pernambuco. Department of Statistics and Informatics. Recife, PE, Brazil / Federal University of Rio Grande do Norte. Department of Informatics and Applied Mathematics. Natal, RN, Brazil.
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spelling Oliveira, Allisson DantasPrats, ClaraEspasa, MateuZarzuela Serrat, FrancescMontañola Sales, CristinaSilgado, AroaCodina, Daniel LopezArruda, Mercia ElianeI Prat, Jordi GomezAlbuquerque, Jones2017-06-21T14:28:18Z2017-06-21T14:28:18Z2017OLIVEIRA, A. D. et al. The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis. JMIR Research Protocols, v. 6, n. 4, p. e70, 25 abr. 2017.1929-0748https://www.arca.fiocruz.br/handle/icict/1946610.2196/resprot.6758engThe Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFederal Rural University of Pernambuco. Department of Statistics and Informatics. Recife, PE, Brazil / Federal University of Rio Grande do Norte. Department of Informatics and Applied Mathematics. Natal, RN, Brazil.Universitat Politècnica de Catalunya. BarcelonaTech. Barcelona, Spain.Vall dHebron University Hospital. Microbiology Department. Barcelona, Spain.Vall dHebron University Hospital. Microbiology Department. Barcelona, Spain.Universitat Politècnica de Catalunya. BarcelonaTech. Barcelona, Spain.Vall dHebron University Hospital. Microbiology Department. Barcelona, Spain.Universitat Politècnica de Catalunya. BarcelonaTech. Barcelona, Spain.Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Recife, PE, Brasil / Federal University of Pernambuco. Keizo Asami Laboratory of Imunopathology. Recife, PE, Brazil.Vall dHebron University Hospital. Microbiology Department. Barcelona, Spain.Federal Rural University of Pernambuco. Department of Statistics and Informatics. Recife, PE, Brazil / Federal University of Pernambuco. Keizo Asami Laboratory of Imunopathology. Recife, PE, Brazil.BACKGROUND: Malaria is a public health problem that affects remote areas worldwide. Climate change has contributed to the problem by allowing for the survival of Anopheles in previously uninhabited areas. As such, several groups have made developing news systems for the automated diagnosis of malaria a priority. OBJECTIVE: The objective of this study was to develop a new, automated, mobile device-based diagnostic system for malaria. The system uses Giemsa-stained peripheral blood samples combined with light microscopy to identify the Plasmodium falciparum species in the ring stage of development. METHODS: The system uses image processing and artificial intelligence techniques as well as a known face detection algorithm to identify Plasmodium parasites. The algorithm is based on integral image and haar-like features concepts, and makes use of weak classifiers with adaptive boosting learning. The search scope of the learning algorithm is reduced in the preprocessing step by removing the background around blood cells. RESULTS: As a proof of concept experiment, the tool was used on 555 malaria-positive and 777 malaria-negative previously-made slides. The accuracy of the system was, on average, 91%, meaning that for every 100 parasite-infected samples, 91 were identified correctly. CONCLUSIONS: Accessibility barriers of low-resource countries can be addressed with low-cost diagnostic tools. Our system, developed for mobile devices (mobile phones and tablets), addresses this by enabling access to health centers in remote communities, and importantly, not depending on extensive malaria expertise or expensive diagnostic detection equipment.Artificial intelligenceApplied computingAutomated diagnosisMalariaMobile devicesinfo: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/19466/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINAL28442456 2017 oli-mal.oa.pdf28442456 2017 oli-mal.oa.pdfapplication/pdf1835327https://www.arca.fiocruz.br/bitstream/icict/19466/2/28442456%202017%20oli-mal.oa.pdfa0822159d5fd263df3628e67c39d8c39MD52TEXT28442456 2017 oli-mal.oa.pdf.txt28442456 2017 oli-mal.oa.pdf.txtExtracted 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dc.title.pt_BR.fl_str_mv The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis
title The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis
spellingShingle The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis
Oliveira, Allisson Dantas
Artificial intelligence
Applied computing
Automated diagnosis
Malaria
Mobile devices
title_short The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis
title_full The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis
title_fullStr The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis
title_full_unstemmed The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis
title_sort The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis
author Oliveira, Allisson Dantas
author_facet Oliveira, Allisson Dantas
Prats, Clara
Espasa, Mateu
Zarzuela Serrat, Francesc
Montañola Sales, Cristina
Silgado, Aroa
Codina, Daniel Lopez
Arruda, Mercia Eliane
I Prat, Jordi Gomez
Albuquerque, Jones
author_role author
author2 Prats, Clara
Espasa, Mateu
Zarzuela Serrat, Francesc
Montañola Sales, Cristina
Silgado, Aroa
Codina, Daniel Lopez
Arruda, Mercia Eliane
I Prat, Jordi Gomez
Albuquerque, Jones
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Oliveira, Allisson Dantas
Prats, Clara
Espasa, Mateu
Zarzuela Serrat, Francesc
Montañola Sales, Cristina
Silgado, Aroa
Codina, Daniel Lopez
Arruda, Mercia Eliane
I Prat, Jordi Gomez
Albuquerque, Jones
dc.subject.en.none.fl_str_mv Artificial intelligence
Applied computing
Automated diagnosis
Malaria
Mobile devices
topic Artificial intelligence
Applied computing
Automated diagnosis
Malaria
Mobile devices
description Federal Rural University of Pernambuco. Department of Statistics and Informatics. Recife, PE, Brazil / Federal University of Rio Grande do Norte. Department of Informatics and Applied Mathematics. Natal, RN, Brazil.
publishDate 2017
dc.date.accessioned.fl_str_mv 2017-06-21T14:28:18Z
dc.date.available.fl_str_mv 2017-06-21T14:28:18Z
dc.date.issued.fl_str_mv 2017
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 OLIVEIRA, A. D. et al. The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis. JMIR Research Protocols, v. 6, n. 4, p. e70, 25 abr. 2017.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/19466
dc.identifier.issn.pt_BR.fl_str_mv 1929-0748
dc.identifier.doi.pt_BR.fl_str_mv 10.2196/resprot.6758
identifier_str_mv OLIVEIRA, A. D. et al. The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis. JMIR Research Protocols, v. 6, n. 4, p. e70, 25 abr. 2017.
1929-0748
10.2196/resprot.6758
url https://www.arca.fiocruz.br/handle/icict/19466
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.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Repositório Institucional da FIOCRUZ (ARCA)
collection Repositório Institucional da FIOCRUZ (ARCA)
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