Assessing optimal methods for transferring machine learning models to low-volume and imbalanced clinical datasets: experiences from predicting outcomes of Danish trauma patients
IntroductionAccurately predicting patient outcomes is crucial for improving healthcare delivery, but large-scale risk prediction models are often developed and tested on specific datasets where clinical parameters and outcomes may not fully reflect local clinical settings. Where this is the case, wh...
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| Main Authors: | , , , , , , |
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| Format: | Book |
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Frontiers Media S.A.,
2023-11-01T00:00:00Z.
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