Literature DB >> 31600333

Correction: Comparison of risk models for mortality and cardiovascular events between machine learning and conventional logistic regression analysis.

Abstract

[This corrects the article DOI: 10.1371/journal.pone.0221911.].

Year: 2019 PMID： 31600333 PMCID： PMC6786577 DOI： 10.1371/journal.pone.0223931

Source DB: PubMed Journal: PLoS One ISSN： 1932-6203 Impact factor: 3.240

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.

Originally published, uncorrected article.

(PDF) Click here for additional data file.

Republished corrected article.

(PDF) Click here for additional data file.

1 in total

1. Comparison of risk models for mortality and cardiovascular events between machine learning and conventional logistic regression analysis.

Authors: Shinya Suzuki; Takeshi Yamashita; Tsuyoshi Sakama; Takuto Arita; Naoharu Yagi; Takayuki Otsuka; Hiroaki Semba; Hiroto Kano; Shunsuke Matsuno; Yuko Kato; Tokuhisa Uejima; Yuji Oikawa; Minoru Matsuhama; Junji Yajima
Journal: PLoS One Date: 2019-09-09 Impact factor: 3.240

1 in total