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Universidade do Minho - Repositório Institucional >
Escola de Engenharia da Universidade do Minho | School of Engineering of the University of Minho >
Departamento de Sistemas de Informação >
DSI - Sociedade da Informação >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1822/6401
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| Title: | Data mining a prostate cancer dataset using rough sets |
| Authors: | Revett, Kenneth Magalhães, Paulo Sérgio Santos, Henrique Dinis dos |
| Keywords: | Rough sets Cancer classifier Machine learning Prostate cancer dataset Reducts |
| Issue date: | 2006 |
| Publisher: | IEEE CS Press |
| Citation: | 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. |
| Abstract: | 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. |
| Type: | conferenceObject |
| URI: | http://hdl.handle.net/1822/6401 |
| ISBN: | 1-4244-01996-8 |
| Peer-Reviewed: | yes |
| Appears in Collections: | DSI - Sociedade da Informação
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