"Assessing optimal methods for transferring machine learning models to ..."

Andreas Skov Millarch et al. (2023)

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DOI: 10.3389/FDGTH.2023.1249258

access: open

type: Journal Article

metadata version: 2024-10-06

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  - https://dblp.org/rec/journals/fdgth/MillarchBBKFRS23
Andreas Skov Millarch, Alexander Bonde, Mikkel Bonde, Kiril Vadomovic Klein, Fredrik Folke, Søren Steemann Rudolph, Martin Sillesen:
Assessing optimal methods for transferring machine learning models to low-volume and imbalanced clinical datasets: experiences from predicting outcomes of Danish trauma patients. Frontiers Digit. Health 5 (2023)

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