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. 2014 Oct 20;2(2):e28. doi: 10.2196/medinform.3251

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©Arnaud JF Installé, Thierry Van den Bosch, Bart De Moor, Dirk Timmerman. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 20.10.2014.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.

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Learning curves, plotting predictive performance with respect to number of patient inclusions, can easily be generated using Clinical Data Miner (CDM)'s libraries. (Abbreviations: AUC=area under the ROC curve; ROC=receiver operating characteristic.).