Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8458708 | Radiotherapy and Oncology | 2018 | 4 Pages |
Abstract
Prognostic models are powerful tools for treatment personalisation. However, not all proposed models work well when validated using new data, despite impressive results being reported initially. Here, we will use a hands-on approach to highlight important aspects of prognostic modelling, as well as to demonstrate methods to generate generalisable models.
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Authors
Alex Zwanenburg, Steffen Löck,