Digital phenotyping of suicidal thoughts

Depression and Anxiety

Volumn 35, Issue 7, 2018, Pages 601-608

  Kleiman, Evan M ^a   Turner, Brianna J ^b   Fedor, Szymon ^c   Beale, Eleanor E ^d,e   Picard, Rosalind W ^c   Huffman, Jeff C ^d,e   Nock, Matthew K ^a,d,f  

^a HARVARD UNIVERSITY   (United States)

^b UNIVERSITY OF VICTORIA   (Canada)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^d MASSACHUSETTS GENERAL HOSPITAL   (United States)

^e HARVARD MEDICAL SCHOOL   (United States)

^f Cambridge Computational Clinical Psychology Organization (C3PO)   (United States)

Author keywords

assessment diagnosis; computer Internet technology; depression; suicide self harm; web based

Indexed keywords

ADULT; AGED; ARTICLE; CONTROLLED STUDY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MONITORING; PHENOTYPE; PRIORITY JOURNAL; SUICIDAL IDEATION; SUICIDE ATTEMPT; ADOLESCENT; ECOLOGICAL MOMENTARY ASSESSMENT; HOSPITAL PATIENT; MIDDLE AGED; OUTPATIENT; PSYCHIATRIC DEPARTMENT; PSYCHOLOGY; QUESTIONNAIRE; SMARTPHONE; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; ECOLOGICAL MOMENTARY ASSESSMENT; FEMALE; HUMANS; INPATIENTS; MALE; MIDDLE AGED; OUTPATIENTS; PHENOTYPE; PSYCHIATRIC DEPARTMENT, HOSPITAL; SMARTPHONE; SUICIDAL IDEATION; SUICIDE, ATTEMPTED; SURVEYS AND QUESTIONNAIRES; YOUNG ADULT;

EID: 85045218336     PISSN: 10914269     EISSN: 15206394     Source Type: Journal    
DOI: 10.1002/da.22730     Document Type: Article

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