Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data

Fuente: Zenodo

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Bibliographic Details
Main Authors:	Yang, Cynthia, Fridgeirsson, Egill A., Kors, Jan A., Reps, Jenna M., Rijnbeek, Peter R.
Format:	Recurso digital
Published:	Zenodo 2024
Subjects:	patient-level prediction clinical prediction model class imbalance problem machine learning external validation clinical decision support
Online Access:	Acceder al recurso
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