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

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.