Prediction of remission in obsessive compulsive disorder using a novel machine learning strategy

International Journal of Methods in Psychiatric Research

Volumn 24, Issue 2, 2015, Pages 156-169

  Askland, Kathleen D ^a   Garnaat, Sarah ^a   Sibrava, Nicholas J ^b   Boisseau, Christina L ^a   Strong, David ^c   Mancebo, Maria ^a   Greenberg, Benjamin ^a   Rasmussen, Steve ^a   Eisen, Jane ^a  

^a BROWN UNIVERSITY   (United States)

^b CITY UNIVERSITY OF NEW YORK   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Obsessive compulsive disorder; Risk factors; Statistics

Indexed keywords

ADULT; FEMALE; HUMAN; LONGITUDINAL STUDY; MACHINE LEARNING; MALE; OBSESSIVE-COMPULSIVE DISORDER; PREDICTIVE VALUE; PSYCHOLOGICAL RATING SCALE; PSYCHOMETRY; RECURRENT DISEASE; RETROSPECTIVE STUDY;

ADULT; FEMALE; HUMANS; LONGITUDINAL STUDIES; MACHINE LEARNING; MALE; OBSESSIVE-COMPULSIVE DISORDER; PREDICTIVE VALUE OF TESTS; PSYCHIATRIC STATUS RATING SCALES; PSYCHOMETRICS; RECURRENCE; RETROSPECTIVE STUDIES;

EID: 84931563566     PISSN: 10498931     EISSN: 15570657     Source Type: Journal    
DOI: 10.1002/mpr.1463     Document Type: Article

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