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

doi:10.1016/j.jad.2020.02.037

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

School of Medicine

Research output: Contribution to journal › Comment/debate

3 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 language	English
Pages (from-to)	1211-1215
Number of pages	5
Journal	Journal of Affective Disorders
Volume	274
DOIs	https://doi.org/10.1016/j.jad.2020.02.037
State	Published - 01 09 2020

Bibliographical note

Publisher Copyright:
© 2020 Elsevier B.V.

Access to Document

10.1016/j.jad.2020.02.037

Fingerprint

Dive into the research topics of '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))'. Together they form a unique fingerprint.

Cite this

Lee, Y., Ragguett, R. M., Mansur, R. B., Boutilier, J. J., Rosenblat, J. D., Trevizol, A., Brietzke, E., Lin, K., Pan, Z., Subramaniapillai, M., Chan, T. C. Y., Fus, D., Park, C., Musial, N., Zuckerman, H., Chen, V. C. H., Ho, R., Rong, C., & McIntyre, R. S. (2020). 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)). Journal of Affective Disorders, 274, 1211-1215. https://doi.org/10.1016/j.jad.2020.02.037

Lee, Yena ; Ragguett, Renee Marie ; Mansur, Rodrigo B. et al. / 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)). In: Journal of Affective Disorders. 2020 ; Vol. 274. pp. 1211-1215.

@article{d69569f0ca964e55a6f898ba3c85901e,

title = "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))",

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.",

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

note = "Publisher Copyright: {\textcopyright} 2020 Elsevier B.V.",

year = "2020",

month = sep,

day = "1",

doi = "10.1016/j.jad.2020.02.037",

language = "英语",

volume = "274",

pages = "1211--1215",

journal = "Journal of Affective Disorders",

issn = "0165-0327",

publisher = "Elsevier B.V.",

}

Lee, Y, Ragguett, RM, Mansur, RB, Boutilier, JJ, Rosenblat, JD, Trevizol, A, Brietzke, E, Lin, K, Pan, Z, Subramaniapillai, M, Chan, TCY, Fus, D, Park, C, Musial, N, Zuckerman, H, Chen, VCH, Ho, R, Rong, C & McIntyre, RS 2020, '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))', Journal of Affective Disorders, vol. 274, pp. 1211-1215. https://doi.org/10.1016/j.jad.2020.02.037

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)). / Lee, Yena; Ragguett, Renee Marie; Mansur, Rodrigo B. et al.
In: Journal of Affective Disorders, Vol. 274, 01.09.2020, p. 1211-1215.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Corrigendum to “Applications of machine learning algorithms to predict therapeutic outcomes in depression

T2 - 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))

AU - Lee, Yena

AU - Ragguett, Renee Marie

AU - Mansur, Rodrigo B.

AU - Boutilier, Justin J.

AU - Rosenblat, Joshua D.

AU - Trevizol, Alisson

AU - Brietzke, Elisa

AU - Lin, Kangguang

AU - Pan, Zihang

AU - Subramaniapillai, Mehala

AU - Chan, Timothy C.Y.

AU - Fus, Dominika

AU - Park, Caroline

AU - Musial, Natalie

AU - Zuckerman, Hannah

AU - Chen, Vincent Chin Hung

AU - Ho, Roger

AU - Rong, Carola

AU - McIntyre, Roger S.

PY - 2020/9/1

Y1 - 2020/9/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85084218196

U2 - 10.1016/j.jad.2020.02.037

DO - 10.1016/j.jad.2020.02.037

M3 - 评论/辩论

C2 - 32663953

AN - SCOPUS:85084218196

SN - 0165-0327

VL - 274

SP - 1211

EP - 1215

JO - Journal of Affective Disorders

JF - Journal of Affective Disorders

ER -

Lee Y, Ragguett RM, Mansur RB, Boutilier JJ, Rosenblat JD, Trevizol A et al. 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)). Journal of Affective Disorders. 2020 Sep 1;274:1211-1215. doi: 10.1016/j.jad.2020.02.037

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))

Abstract

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this