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Corrigendum to "Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review." J Affect Disord. 241 (2018) 519-532.

Authors :
Lee, Yena
Ragguett, Renee-Marie
Mansur, Rodrigo B.
Boutilier, Justin J.
Rosenblat, Joshua D.
Trevizol, Alisson
Brietzke, Elisa
Lin, Kangguang
Pan, Zihang
Subramaniapillai, Mehala
Chan, Timothy C.Y.
Fus, Dominika
Park, Caroline
Musial, Natalie
Zuckerman, Hannah
Chen, Vincent Chin-Hung
Ho, Roger
Rong, Carola
McIntyre, Roger S.
Source :
Journal of Affective Disorders. Sep2020, Vol. 274, p1211-1215. 5p.
Publication Year :
2020

Abstract

The authors regret an error in one of the extracted data points in the meta-analysis. The classification accuracy for Serretti et al. (2007) was corrected to 64% (Table 3b). The overall results before and after this correction remain directionally consistent and are summarized below (Figures 2 and 3; Table 2; results subsection 3.6). The authors apologise for any inconvenience caused. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*MACHINE learning
*META-analysis

Details

Language :
English
ISSN :
01650327
Volume :
274
Database :
Academic Search Index
Journal :
Journal of Affective Disorders
Publication Type :
Academic Journal
Accession number :
144408410
Full Text :
https://doi.org/10.1016/j.jad.2020.02.037