Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
378168 | Artificial Intelligence in Medicine | 2006 | 13 Pages |
Abstract
FNNs can contribute to the accurate prognosis of bladder cancer recurrence. The proposed feature selection method can remove redundant information without a significant loss in predictive accuracy, and thereby render the prognostic model less complex, more robust, and hence suitable for clinical use.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Vassilis P. Plagianakos, Panagiota Ravazoula, Georgios Nikiforidis, Michael N. Vrahatis,