Knowledge extraction from prostate cancer data

Dursun Delen, Nainish Patil

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

Although cancer research has generally been clinical and/or biological in nature, in recent years, data driven analytic research has become a common complement. In medical domains where data and analytics driven research is successfully applied, new and novel research directions are identified to further advance the clinical and biological studies. Specifically, it is the combination of the serious effects of cancer, the promising results of prior analytical research in related fields, the potential benefits of the expected research outcomes and the desire to further understand the nature of cancer that provided the motivation for this research effort. Therefore, the main objective of this research has been to take advantage of the available data mining tools and techniques to develop accurate prediction models for prostate cancer survivability, and to explain the prioritized importance of the prognostic factors.

Original languageEnglish
Title of host publicationProceedings of the 39th Annual Hawaii International Conference on System Sciences, HICSS'06
Pages92b
DOIs
StatePublished - 17 Oct 2006
Externally publishedYes
Event39th Annual Hawaii International Conference on System Sciences, HICSS'06 - Kauai, HI, United States
Duration: 4 Jan 20067 Jan 2006

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume5
ISSN (Print)1530-1605

Conference

Conference39th Annual Hawaii International Conference on System Sciences, HICSS'06
CountryUnited States
CityKauai, HI
Period4/01/067/01/06

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