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. 2022 Aug 25;22:319. doi: 10.1186/s12883-022-02840-w

Correction: Risk prediction of 30-day mortality after stroke using machine learning: a nationwide registry-based cohort study

Wenjuan Wang 1,✉, Anthony G Rudd 1, Yanzhong Wang 1,2,3, Vasa Curcin 1,2,3, Charles D Wolfe 1,2,3, Niels Peek 4,5,#, Benjamin Bray 1,#
PMCID: PMC9404635  PMID: 36008776

Correction: BMC Neurol 22, 195 (2022)

https://doi.org/10.1186/s12883-022-02722-1

Following publication of the original article [1], the authors reported an error in Fig. 1. The same error was made in Figure A, C and D in supplemental material. The context was not affected as the error was made when replotting during the revision. We apologise for the error.

Fig. 1.

Fig. 1

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Calibration plots of all models on 2019 temporal validation set

The correct Fig. 1 and supplemental material are provided below.

The original article [1] has been updated.

Supplementary Information

Additional file 1. (2.4MB, docx)

Footnotes

Niels Peek and Benjamin Bray are Joint last author

Reference

  • 1.Wang W, Rudd AG, Wang Y, et al. Risk prediction of 30-day mortality after stroke using machine learning: a nationwide registry-based cohort study. BMC Neurol. 2022;22:195. doi: 10.1186/s12883-022-02722-1. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1. (2.4MB, docx)

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