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...
Main Authors: | Abbod, M, Linkens, D, Catto, J, Hamdy, F |
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פורמט: | Journal article |
שפה: | English |
יצא לאור: |
2006
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פריטים דומים
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Neuro-fuzzy modeling: an accurate and interpretable method for predicting bladder cancer progression.
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Artificial intelligence for the prediction bladder cancer
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Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks.
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Promoter hypermethylation identifies progression risk in bladder cancer.
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Predictive modeling in cancer: where systems biology meets the stock market.
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