Assessing optimal methods for transferring machine learning models to low-volume and imbalanced clinical datasets: experiences from predicting outcomes of Danish trauma patients

• Main Authors: Andreas Skov Millarch (Author), Alexander Bonde (Author), Mikkel Bonde (Author), Kiril Vadomovic Klein (Author), Fredrik Folke (Author), Søren Steemann Rudolph (Author), Martin Sillesen (Author)
• Format: Book
• Published: Frontiers Media S.A., 2023-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...