Ben Van Calster

Ben Van Calster: It takes time: A remarkable example of delayed recognition. JASIST 63(11): 2341-2344 (2012)

Ben Van Calster, George Condous, Emma Kirk, Tom Bourne, Dirk Timmerman, Sabine Van Huffel: An application of methods for the probabilistic three-class classification of pregnancies of unknown location. Artificial Intelligence in Medicine 46(2): 139-154 (2009)

Ben Van Calster, Olivier Gevaert, Caroline Van Holsbeke, Bart De Moor, Sabine Van Huffel, Dirk Timmerman: Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study. Computational Intelligence and Bioengineering 2009: 111-128

Ben Van Calster, Dirk Timmerman, Ian T. Nabney, Lil Valentin, Antonia C. Testa, Caroline Van Holsbeke, Ignace Vergote, Sabine Van Huffel: Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery. Neural Computing and Applications 17(5-6): 489-500 (2008)

Ben Van Calster, Sabine Van Huffel, Dirk Timmerman, Emma Kirk, Tom Bourne, George Condous: Towards a Clinical Decision Support System for Pregnancies of Unknown Location. CBMS 2008: 581-583

Ben Van Calster, Dirk Timmerman, Antonia C. Testa, Lil Valentin, Sabine Van Huffel: Multi-class classification of ovarian tumors. ESANN 2008: 65-70

Ben Van Calster, Vanya Van Belle, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel: Multi-class AUC metrics and weighted alternatives. IJCNN 2008: 1390-1396

Ben Van Calster, Jan Luts, Johan A. K. Suykens, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel: Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression. ICANN (2) 2007: 139-148

M. S. Hane Aung, Paulo J. G. Lisboa, Terence A. Etchells, Antonia C. Testa, Ben Van Calster, Sabine Van Huffel, Lil Valentin, Dirk Timmerman: Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy. ISNN (2) 2007: 1177-1186