Comparative study of intelligent models for the prediction of bladder cancer progression.
New techniques for the prediction of tumour behaviour are needed since statistical analysis has low accuracy and is not applicable to the individual. Artificial intelligence (AI) may provide suitable methods. We have compared the predictive accuracies of neuro-fuzzy modelling (NFM), artificial neura...
المؤلفون الرئيسيون: | Abbod, M, Linkens, D, Catto, J, Hamdy, F |
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التنسيق: | Journal article |
اللغة: | English |
منشور في: |
2006
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مواد مشابهة
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Neuro-fuzzy modeling: an accurate and interpretable method for predicting bladder cancer progression.
حسب: Catto, J, وآخرون
منشور في: (2006) -
Artificial intelligence for the prediction bladder cancer
حسب: Abbod, M, وآخرون
منشور في: (2004) -
Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks.
حسب: Catto, J, وآخرون
منشور في: (2003) -
Promoter hypermethylation identifies progression risk in bladder cancer.
حسب: Yates, DR, وآخرون
منشور في: (2007) -
Predictive modeling in cancer: where systems biology meets the stock market.
حسب: Abbod, M, وآخرون
منشور في: (2009)