Correction: Comparison of risk models for mortality and cardiovascular events between machine learning and conventional logistic regression analysis
Authors:
Published in the journal:
PLoS ONE 14(10)
Category:
Correction
doi:
https://doi.org/10.1371/journal.pone.0223931
Notice of republication
An incomplete, earlier version of this article was published in error. The publisher apologizes for the error. This article was republished on October 1, 2019 to correct for this error. Please download the article again to view the correct version. The originally published, uncorrected article and the republished, corrected article are provided here for reference.
Supporting information
S1 File [pdf]
Originally published, uncorrected article.
S2 File [pdf]
Republished corrected article.
Zdroje
1. Suzuki S, Yamashita T, Sakama T, Arita T, Yagi N, Otsuka T, et al. (2019) Comparison of risk models for mortality and cardiovascular events between machine learning and conventional logistic regression analysis. PLoS ONE 14(9): e0221911. https://doi.org/10.1371/journal.pone.0221911 31499517
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PLOS One
2019 Číslo 10
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