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

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

Autor Santos, R. S. Google Scholar
Malheiros, S. M. F. Autor UNIFESP Google Scholar
Cavalheiro, S. Autor UNIFESP Google Scholar
Parente de Oliveira, J. M. Google Scholar
Instituição Aeronaut Inst Technol
Universidade Federal de São Paulo (UNIFESP)
Compuminer Data Min & BI
Resumo Cancer 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.
Assunto Data analysis
Ontology
Decision support system
Information system
Brain neoplasms
Health services administration
Idioma Inglês
Financiador Compuminer Data Mining BI, Inc.
Data 2013-03-01
Publicado em Computer Methods and Programs in Biomedicine. Clare: Elsevier B.V., v. 109, n. 3, p. 269-282, 2013.
ISSN 0169-2607 (Sherpa/Romeo, fator de impacto)
Editor Elsevier B.V.
Extensão 269-282
Fonte http://dx.doi.org/10.1016/j.cmpb.2012.10.010
Direito de acesso Acesso restrito
Tipo Artigo
Web of Science WOS:000316531500005
URI http://repositorio.unifesp.br/handle/11600/36034

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