Neural network-based assessment of prognostic markers and outcome prediction in bilharziasis-associated bladder cancer.
In this paper the potential value of two prognostic factors, namely, bilharziasis status and tumor histological type, is investigated in relation to their abilities to predict disease progression and outcome of patients with bladder cancer, using radial basis function (RBF) neural networks. The blad...
| Опубликовано в:: | IEEE Transactions on information technology in biomedicine 7, 3 (2003). |
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| Главный автор: | |
| Формат: | Статья |
| Язык: | English |
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