Neural network-based assessment of prognostic markers and outcome prediction in bilharziasis-associated bladder cancer.

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...

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Detalles Bibliográficos
Publicado en:IEEE Transactions on information technology in biomedicine 7, 3 (2003).
Autor principal: Wei Ji
Formato: Artículo
Lenguaje:English
Materias:
RBF network.
Bilharziasis-associated bladder cancer.
Bladder adenocarcinoma.
Disease.
Disease progression.
Neural network.
Outcome prediction.
Prognostic markers.
Radial basis function neural networks.
Survival analysis.
Tumor histological type.