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Journal article

Neuro-fuzzy modeling: an accurate and interpretable method for predicting bladder cancer progression.

Abstract:

PURPOSE: New methods are required to improve the prediction of cancer progression as traditional statistical tests have limited accuracy. Accurate predictions would allow physicians to offer specific treatment according to individual patient risk. While predictive improvements are obtained using ANN, the hidden nature of these networks prevents insight and has hindered their widespread implementation. NFM is an alternate form of artificial intelligence using fuzzy logic (which is a multivalu...

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Publication status:
Published

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Institution:
University of Oxford
Department:
Oxford, MSD, Surgical Sciences, Biomedical Research Centre
Role:
Author
Journal:
The Journal of urology
Volume:
175
Issue:
2
Pages:
474-479
Publication date:
2006-02-05
DOI:
EISSN:
1527-3792
ISSN:
0022-5347
URN:
uuid:5988a931-21f3-49f2-9090-27f4a76a84d1
Source identifiers:
120661
Local pid:
pubs:120661

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