Dirk Timmerman - researchr alias

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Viewing Publication 1 - 26 from 26

2022

2019

Predictive analytics in health care: how can we know it works?Ben Van Calster, Laure Wynants, Dirk Timmerman, Ewout W. Steyerberg, Gary S. Collins. jamia, 26(12):1651-1654, 2019. [doi]

2015

A spline-based tool to assess and visualize the calibration of multiclass risk predictionsK. Van Hoorde, Sabine Van Huffel, Dirk Timmerman, Tom Bourne, Ben Van Calster. jbi, 54:283-293, 2015. [doi]

2012

Improved modeling of clinical data with kernel methodsAnneleen Daemen, Dirk Timmerman, Thierry Van den Bosch, Cecilia Bottomley, Emma Kirk, Caroline Van Holsbeke, Lil Valentin, Tom Bourne, Bart De Moor. artmed, 54(2):103-114, 2012. [doi]

2011

Fuzzy Decision Tree Learning for Preoperative Classification of Adnexal MassesEmad Ahmadi, Hoda Javadi, Amin Khansefid, Atousa Asadi, Mohammad Mehdi Ebadzadeh, Dirk Timmerman. biostec 2011: 364-375

2009

An application of methods for the probabilistic three-class classification of pregnancies of unknown locationBen Van Calster, George Condous, Emma Kirk, Tom Bourne, Dirk Timmerman, Sabine Van Huffel. artmed, 46(2):139-154, 2009. [doi]

Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA studyBen Van Calster, Olivier Gevaert, Caroline Van Holsbeke, Bart De Moor, Sabine Van Huffel, Dirk Timmerman. In Francesco Masulli, Alessio Micheli, Alessandro Sperduti, editors, Computational Intelligence and Bioengineering - Essays in Memory of Antonina Starita. Volume 196 of Frontiers in Artificial Intelligence and Applications, pages 111-128, IOS Press, 2009. [doi]

2008

2007

2006

Classifying ovarian tumors using Bayesian Multi-Layer Perceptrons and Automatic Relevance Determination: A multi-center studyBen Van Calster, Dirk Timmerman, Ian T. Nabney, Lil Valentin, Caroline Van Holsbeke, Sabine Van Huffel. embc 2006: 5342-5345 [doi]

Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networksOlivier Gevaert, Frank De Smet, Dirk Timmerman, Yves Moreau, Bart De Moor. ismb 2006: 184-190 [doi]

2004

Using literature and data to learn Bayesian networks as clinical models of ovarian tumorsPeter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor. artmed, 30(3):257-281, 2004. [doi]

2003

2002

Web-based Data Collection for Uterine Adnexal Tumors: A Case StudyStein Aerts, Peter Antal, Dirk Timmerman, Bart De Moor, Yves Moreau. cbms 2002: 282-287 [doi]

Domain Knowledge Based Information Retrieval Language: An Application Of Annotated Bayesian Network In Ovarian Cancer DomainPeter Antal, Dirk Timmerman, Tamás Mészáros, Tadeusz P. Dobrowiecki. cbms 2002: 213-218 [doi]

2001

Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian TumorsPeter Antal, Geert Fannes, Bart De Moor, Joos Vandewalle, Yves Moreau, Dirk Timmerman. aime 2001: 177-187 [doi]

2000

Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and LimitationsPeter Antal, Herman Verrelst, Dirk Timmerman, Sabine Van Huffel, Bart De Moor, Ignace Vergote. cbms 2000: 103-108 [doi]

1997

Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian TumorsHerman Verrelst, Yves Moreau, Joos Vandewalle, Dirk Timmerman. nips 1998: 978-984

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