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));Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review

Journal of Affective Disorders

Volumn 241, Issue , 2018, Pages 519-532

  Lee, Yena ^a,b,c   Ragguett, Renee Marie ^b,c   Mansur, Rodrigo B ^b,c,d   Boutilier, Justin J ^d   Rosenblat, Joshua D ^b,d   Trevizol, Alisson ^b   Brietzke, Elisa ^b,e   Lin, Kangguang ^f,g   Pan, Zihang ^a,b,c   Subramaniapillai, Mehala ^b,c   Chan, Timothy C Y ^d   Fus, Dominika ^b,c   Park, Caroline ^a,b,c   Musial, Natalie ^b,c   Zuckerman, Hannah ^b,c   Chen, Vincent Chin Hung ^i,j   Ho, Roger ^h   Rong, Carola ^b,c   McIntyre, Roger S ^a,b,c,d  

^a UNIVERSITY OF TORONTO   (Canada)

^b UNIVERSITY HEALTH NETWORK   (Canada)

^c BRAIN AND COGNITION DISCOVERY FOUNDATION   (Canada)

^d UNIVERSITY OF TORONTO   (Canada)

^e FEDERAL UNIVERSITY OF SÃO PAULO   (Brazil)

^f GUANGZHOU MEDICAL UNIVERSITY   (China)

^g UNIVERSITY OF HONG KONG   (Hong Kong)

^h NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

ⁱ CHANG GUNG UNIVERSITY   (Taiwan)

^j CHANG GUNG MEMORIAL HOSPITAL   (Taiwan)

more..

Author keywords

Artificial intelligence; Automated pattern recognition; Bipolar disorder; Machine learning; Major depressive disorder; Mood disorders; Neural networks (computer); Treatment outcome

Indexed keywords

ANTIDEPRESSANT AGENT;

ALGORITHM; BIPOLAR DEPRESSION; HUMAN; MACHINE LEARNING; MAJOR DEPRESSION; META ANALYSIS; MOOD DISORDER; NEUROIMAGING; NEUROMODULATION; PHENOMENOLOGY; PREDICTIVE VALIDITY; PRIORITY JOURNAL; PSYCHOTHERAPY; REVIEW; SYSTEMATIC REVIEW; TREATMENT OUTCOME; TREATMENT RESPONSE; ADULT; COMPUTER ASSISTED DIAGNOSIS; DEPRESSION; FEMALE; MALE; RETROSPECTIVE STUDY;

ADULT; ALGORITHMS; ANTIDEPRESSIVE AGENTS; DEPRESSIVE DISORDER; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; MACHINE LEARNING; MALE; NEUROIMAGING; RETROSPECTIVE STUDIES; TREATMENT OUTCOME;

EID: 85052219946     PISSN: 01650327     EISSN: 15732517     Source Type: Journal    
DOI: 10.1016/j.jad.2020.02.037     Document Type: Erratum

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