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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP6W34M/3JM4EQ8
Repositorysid.inpe.br/marte2/2015/06.15.16.04.54
Last Update2015:06.15.16.04.54 (UTC) banon
Metadata Repositorysid.inpe.br/marte2/2015/06.15.16.04.55
Metadata Last Update2018:06.06.03.26.20 (UTC) administrator
ISBN978-85-17-0076-8
Label1220
Citation KeyMartinsDuPaSaFrGu:2015:MaRiEs
TitleMapeamento do risco da esquistossomose em Minas Gerais usando k-NN e ´arvore de decis?ao
FormatInternet
Year2015
Access Date2024, May 20
Secondary TypePRE CN
Number of Files1
Size1387 KiB
2. Context
Author1 Martins, Flávia de Toledo
2 Dutra, Luciano Vieira
3 Pantaleão, Eliana
4 Sandri, Sandra
5 Freitas, Corina da Costa
6 Guimarães, Ricardo José de Paula Souza e
Resume Identifier1
2 8JMKD3MGP5W/3C9JHMA
Group1
2 DPI-OBT-INPE-MCTI-GOV-BR
Affiliation1
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 flavinha@dpi.inpe.br
EditorGherardi, Douglas Francisco Marcolino
Aragão, Luiz Eduardo Oliveira e Cruz de
e-Mail Addresswanderf@dsr.inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 17 (SBSR)
Conference LocationJoão Pessoa
Date25-29 abr. 2015
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages5912-5918
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2015-06-15 16:04:55 :: banon -> administrator ::
2018-06-06 03:26:20 :: administrator -> simone :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractOf all the parasitic diseases that affect humans, schistosomiasis is one of the most widespread. Considered a serious public health problem, the disease affects thousands of people in Brazil. Since the implementation of schistosomiasis control program in the state of Minas Gerais, stock control and surveillance have been conducted. To contribute to the control and mapping of endemic areas, the aim of this study is to obtain thematic maps showing the risk factor for schistosomiasis mansoni in Minas Gerais. Schistosomiasis is a disease caused by a worm that uses a snail as intermediary host. The worm uses the water to go from the snail to humans. Several variables can contribute for a high risk of a population contracting the disease. In this study, this risk is evaluated from climate, socioeconomic and remote sensing variables, which include MODIS and SRTM data. In this work, two pattern recognition techniques were used to generate two risk maps, with several parameter configurations. The first one is decision trees, for which a total of 19 classifications were generated. The second one technique is the nearest neighbour classification. For this method, only the number of neighbours varied, and 11 classifications were generated. Results showed a better result for the decistion trees in most part of the tests.
AreaSRE
TypeSaúde
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP6W34M/3JM4EQ8
zipped data URLhttp://urlib.net/zip/8JMKD3MGP6W34M/3JM4EQ8
Languagept
Target Filep1220.pdf
User Groupbanon
Visibilityshown
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGP6W34M/3JJLLP2
8JMKD3MGPCW/3EQCCU5
Citing Item Listsid.inpe.br/marte2/2015/05.31.21.54 8
sid.inpe.br/mtc-m21/2012/07.13.14.53.50 2
sid.inpe.br/bibdigital/2013/09.09.15.05 1
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
6. Notes
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