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  1. No Access

    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...

    Ben Van Calster, Dirk Timmerman, Ian T. Nabney… in Neural Computing and Applications (2008)

  2. No Access

    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...

    Ben Van Calster, Jan Luts, Johan A. K. Suykens… in Artificial Neural Networks – ICANN 2007 (2007)

  3. No Access

    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...

    Peter Antal, Geert Fannes, Bart De Moor… in Artificial Intelligence in Medicine (2001)