Boosting the accuracy of existing models by updating and extending: using a multicenter COVID-19 ICU cohort as a proxy

Boosting the accuracy of existing models by updating and extending: using a multicenter COVID-19 ICU cohort as a proxy

Abstract Most published prediction models for Coronavirus Disease 2019 (COVID-19) were poorly reported, at high risk of bias, and heterogeneous in model performance. To tackle methodological challenges faced in previous prediction studies, we investigated whether model updating and extending improve...

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Main Authors: Daniek A. M. Meijs, Laure Wynants, Sander M. J. van Kuijk, Clarissa I. E. Scheeren, Anisa Hana, Jannet Mehagnoul-Schipper, Björn Stessel, Margot Vander Laenen, Eline G. M. Cox, Jan-Willem E. M. Sels, Luc J. M. Smits, Johannes Bickenbach, Dieter Mesotten, Iwan C. C. van der Horst, Gernot Marx, Bas C. T. van Bussel, CoDaP Investigators
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-70333-6
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https://doi.org/10.1038/s41598-024-70333-6

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