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Article
Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery
In this paper, we applied Bayesian multi-layer perceptrons (MLP) using the evidence procedure to predict malignancy of ovarian masses in a large (n = 1,066) multi-centre data set. Automatic relevance determinatio...
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Chapter and Conference Paper
Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression
In this paper we compare thirteen different methods to obtain multi-class probability estimates in view of two medical case studies. The basic classification method used to implement all methods are least squa...
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Chapter and Conference Paper
Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors
We describe a methodology based on a dual Belief Network-Multilayer Perceptron representation to build Bayesian classifiers. This methodology combines efficiently the prior domain knowledge and statistical dat...