Evolved bayesian networks as a versatile alternative to partin tables for prostate cancer management
Proceedings of the 10th annual conference on Genetic and evolutionary computation
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Artificial neural networks were applied to the problem of predicting whether a newly diagnosed prostate cancer is organ-confined, a critical factor in determining the treatment strategy. An effective and easy to use staging index was developed and probability estimates with confidence intervals were derived.