Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/6401
Título: | Data mining a prostate cancer dataset using rough sets |
Autor(es): | Revett, Kenneth Magalhães, Paulo Sérgio Tenreiro Santos, Henrique Dinis dos |
Palavras-chave: | Rough sets Cancer classifier Machine learning Prostate cancer dataset Reducts cancer classifier machine learning |
Data: | 2006 |
Editora: | IEEE |
Revista: | IEEE Intelligent Systems |
Citação: | IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, 3, Varna, Bulgária, 2006 – “Intelligent Systems 2006”. [S.l. : IEEE CS Press, 2006]. ISBN 1-4244-01996-8. p. 290-293. |
Resumo(s): | Prostate cancer remains one of the leading causes of cancer death worldwide, with a reported incidence rate of 650,000 cases per annum worldwide. The causal factors of prostate cancer still remain to be determined. In this paper, we investigate a medical dataset containing clinical information on 502 prostate cancer patients using the machine learning technique of rough sets. Our preliminary results yield a classification accuracy of 90%, with high sensitivity and specificity (both at approximately 91%). Our results yield a predictive positive value (PPN) of 81% and a predictive negative value (PNV) of 95%. In addition to the high classification accuracy of our system, the rough set approach also provides a rule-based inference mechanism for information extraction that is suitable for integration into a rule-based system. The generated rules relate directly to the attributes and their values and provide a direct mapping between them. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/6401 |
ISBN: | 1-4244-01996-8 |
DOI: | 10.1109/IS.2006.348433 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | DSI - Sociedade da Informação |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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04155440.pdf | doc | 5,56 MB | Adobe PDF | Ver/Abrir |