Output details
15 - General Engineering
Brunel University London
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Output 0 of 0 in the submission
Article title
Neurofuzzy Modeling to Determine Recurrence Risk Following Radical Cystectomy for Nonmetastatic Urothelial Carcinoma of the Bladder
Type
D - Journal article
Title of journal
Clinical Cancer Research
Article number
-
Volume number
15
Issue number
9
First page of article
3150
ISSN of journal
1557-3265
Year of publication
2009
Number of additional authors
5
Additional information
This paper provides a design methodology for systems that can predict bladder cancer reoccurrence for patients who have undergone surgical operation to remove it. The system is based on neuro-fuzzy architecture that is trained using small data set. The prediction accuracy of the system is considerably high compared to other developed systems. The system also provides an average timing to reoccurrence, which helps on performing the appropriate monitoring procedure.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-