A fuzzy logic based-method for prognostic decision making in breast and prostate cancers.

Accurate and reliable decision making in oncological prognosis can help in the planning of suitable surgery and therapy, and generally, improve patient management through the different stages of the disease. In recent years, several prognostic markers have been used as indicators of disease progress...

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Bibliographic Details
Published in:	IEEE Transactions on information technology in biomedicine 7, 2 (2003).
Main Author:	Seker, H.
Format:	Article
Language:	English
Subjects:	Artificial neural-network tool. Breast cancer. Decision making. Disease progression. Fuzzy k-nearest neighbor classifier. Fuzzy logic method. Multilayer feedforward backpropagation neural networks. Neural-network-based methods. Oncological prognosis. Oncology. Patient management. Prognostic decision. Prognostic marker model. Prognostic markers. Prostate cancer.