A data mining system for providing analytical information on brain tumors to public health decision makers

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dc.contributor.authorSantos, R. S.
dc.contributor.authorMalheiros, S. M. F. [UNIFESP]
dc.contributor.authorCavalheiro, S. [UNIFESP]
dc.contributor.authorParente de Oliveira, J. M.
dc.contributor.institutionAeronaut Inst Technol
dc.contributor.institutionUniversidade Federal de São Paulo (UNIFESP)
dc.contributor.institutionCompuminer Data Min & BI
dc.date.accessioned2016-01-24T14:31:20Z
dc.date.available2016-01-24T14:31:20Z
dc.date.issued2013-03-01
dc.description.abstractCancer is the leading cause of death in economically developed countries and the second leading cause of death in developing countries. Malignant brain neoplasms are among the most devastating and incurable forms of cancer, and their treatment may be excessively complex and costly. Public health decision makers require significant amounts of analytical information to manage public treatment programs for these patients. Data mining, a technology that is used to produce analytically useful information, has been employed successfully with medical data. However, the large-scale adoption of this technique has been limited thus far because it is difficult to use, especially for non-expert users. One way to facilitate data mining by non-expert users is to automate the process. Our aim is to present an automated data mining system that allows public health decision makers to access analytical information regarding brain tumors. the emphasis in this study is the use of ontology in an automated data mining process. the non-experts who tried the system obtained useful information about the treatment of brain tumors. These results suggest that future work should be conducted in this area. (c) 2012 Elsevier Ireland Ltd. All rights reserved.en
dc.description.affiliationAeronaut Inst Technol, Div Comp Sci, Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationUniversidade Federal de São Paulo, Dept Neurooncol, São Paulo, Brazil
dc.description.affiliationCompuminer Data Min & BI, R&D, São Paulo, Brazil
dc.description.affiliationUnifespUniversidade Federal de São Paulo, Dept Neurooncol, São Paulo, Brazil
dc.description.sourceWeb of Science
dc.description.sponsorshipCompuminer Data Mining BI, Inc.
dc.format.extent269-282
dc.identifierhttp://dx.doi.org/10.1016/j.cmpb.2012.10.010
dc.identifier.citationComputer Methods and Programs in Biomedicine. Clare: Elsevier B.V., v. 109, n. 3, p. 269-282, 2013.
dc.identifier.doi10.1016/j.cmpb.2012.10.010
dc.identifier.issn0169-2607
dc.identifier.urihttp://repositorio.unifesp.br/handle/11600/36034
dc.identifier.wosWOS:000316531500005
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofComputer Methods and Programs in Biomedicine
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.subjectData analysisen
dc.subjectOntologyen
dc.subjectDecision support systemen
dc.subjectInformation systemen
dc.subjectBrain neoplasmsen
dc.subjectHealth services administrationen
dc.titleA data mining system for providing analytical information on brain tumors to public health decision makersen
dc.typeinfo:eu-repo/semantics/article
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