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 (Journal of Affective Disorders (2018) 241 (519–532), (S0165032718304853), (10.1016/j.jad.2018.08.073))

Yena Lee, Renee Marie Ragguett, Rodrigo B. Mansur, Justin J. Boutilier, Joshua D. Rosenblat, Alisson Trevizol, Elisa Brietzke, Kangguang Lin, Zihang Pan, Mehala Subramaniapillai, Timothy C.Y. Chan, Dominika Fus, Caroline Park, Natalie Musial, Hannah Zuckerman, Vincent Chin Hung Chen, Roger Ho, Carola Rong, Roger S. McIntyre*

*Corresponding author for this work

Research output: Contribution to journalComment/debate

2 Scopus citations

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.

Original languageEnglish
Pages (from-to)1211-1215
Number of pages5
JournalJournal of Affective Disorders
Volume274
DOIs
StatePublished - 01 09 2020

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© 2020 Elsevier B.V.

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