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Application of artificial intelligence to the management of urological cancer

Abstract:

Purpose: Artificial intelligence techniques, such as artificial neural networks, Bayesian belief networks and neuro-fuzzy modeling systems, are complex mathematical models based on the human neuronal structure and thinking. Such tools are capable of generating data driven models of biological systems without making assumptions based on statistical distributions. A large amount of study has been reported of the use of artificial intelligence in urology. We reviewed the basi...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.juro.2007.05.122

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Author
Publisher:
American Urological Association
Journal:
Journal of Urology More from this journal
Volume:
178
Issue:
4
Pages:
1150-1156
Publication date:
2007-10-01
DOI:
EISSN:
1527-3792
ISSN:
0022-5347
Language:
English
Keywords:
Pubs id:
pubs:120623
UUID:
uuid:2994bdbc-4737-430d-b24b-dc0cc401370f
Local pid:
pubs:120623
Source identifiers:
120623
Deposit date:
2012-12-19

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