Research Output 2001 2019

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Paper

Comparison of logistic regression and Bayesian Belief Networks for prediction of breast cancer recurrence risk

Witteveen, A., Vliegen, I., Nane, G. F., Siesling, S. & IJzerman, M. J., 23 Oct 2016.

Research output: Contribution to conferencePaperAcademicpeer-review

Personalized advice on chronic low back pain interventions: a machine learning approach

Oude Nijeweme - d'Hollosy, W., Poel, M., van Velsen, L. S., Oudshoorn, C., Hermens, H. J., Stegeman, P., Wolff, A. P., Reneman, M. F. & Soer, R., 15 Nov 2018, p. 25. 1 p.

Research output: Contribution to conferencePaperAcademicpeer-review

Learning systems
Bayesian networks
Decision support systems
Surgery
Decision making

Towards personalized follow-up: a conditional prediction model and nomogram for risk of locoregional recurrence in early breast cancer patients

Witteveen, A., Vliegen, I., Sonke, G. S., Klaase, J. M., IJzerman, M. J. & Siesling, S., 25 Jun 2015.

Research output: Contribution to conferencePaperAcademic

Nomograms
Breast Neoplasms
Recurrence
Logistic Models
ROC Curve

Understanding the added value of being a European Comprehensive Cancer Center

Rajan, A., Nagel, J. & van Harten, W. H., 2015, p. -.

Research output: Contribution to conferencePaperAcademic