Facebook language predicts depression in medical records

Proceedings of the National Academy of Sciences of the United States of America

Volumn 115, Issue 44, 2018, Pages 11203-11208

  Eichstaedt, Johannes C ^a   Smith, Robert J ^b   Merchant, Raina M ^b,c   Ungar, Lyle H ^a,b   Crutchley, Patrick ^a,b   Preoţiuc Pietro, Daniel ^a   Asch, David A ^b,d   Schwartz, H Andrew ^e  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d VETERANS AFFAIRS MEDICAL CENTER   (United States)

^e Stony Brook University   (United States)

Author keywords

Big data; Depression; Facebook; Screening; Social media

Indexed keywords

ADULT; AREA UNDER THE CURVE; ARTICLE; DEPRESSION ASSESSMENT; DIAGNOSIS; ELECTRONIC MEDICAL RECORD; EMERGENCY WARD; FEMALE; HOSTILITY; HUMAN; LANGUAGE; LONELINESS; MAJOR CLINICAL STUDY; MALE; MONITORING; PREDICTION; RUMINATION; SADNESS; SOCIAL MEDIA; DEPRESSION; ELECTRONIC HEALTH RECORD; PSYCHOLOGY; QUESTIONNAIRE; STATISTICS AND NUMERICAL DATA;

ADULT; DEPRESSION; DEPRESSIVE DISORDER; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; LANGUAGE; MALE; SOCIAL MEDIA; SURVEYS AND QUESTIONNAIRES;

EID: 85055651042     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1802331115     Document Type: Article

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