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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 basic concepts behind a...

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Publication status:
Published

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Publisher copy:
10.1016/j.juro.2007.05.122

Authors


Linkens, DA More by this author
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Institution:
University of Oxford
Department:
Oxford, MSD, Surgical Sciences, Biomedical Research Centre
Journal:
The Journal of urology
Volume:
178
Issue:
4 Pt 1
Pages:
1150-1156
Publication date:
2007-10-05
DOI:
EISSN:
1527-3792
ISSN:
0022-5347
URN:
uuid:2994bdbc-4737-430d-b24b-dc0cc401370f
Source identifiers:
120623
Local pid:
pubs:120623

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