Using electronic medical records to enable large-scale studies in psychiatry: Treatment resistant depression as a model

Psychological Medicine

Volumn 42, Issue 1, 2012, Pages 41-50

  Perlis, R H ^a   Iosifescu, D V ^a,b   Castro, V M ^c   Murphy, S N ^a   Gainer, V S ^c   Minnier, J ^d   Cai, T ^d   Goryachev, S ^c   Zeng, Q ^e   Gallagher, P J ^a   Fava, M ^a   Weilburg, J B ^a   Churchill, S E ^c   Kohane, I S ^e   Smoller, J W ^a  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b MOUNT SINAI HOSPITAL   (United States)

^c PARTNERS HEALTHCARE   (United States)

^d HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^e BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Antidepressant; classification; machine learning; natural language processing; remission; treatment resistant depression

Indexed keywords

ADULT; ALGORITHM; AMBULATORY CARE; ARTICLE; CROSS-SECTIONAL STUDY; ELECTRONIC MEDICAL RECORD; FEMALE; HUMAN; INTERNATIONAL CLASSIFICATION OF DISEASES; LONGITUDINAL STUDY; MALE; MEDICAL RESEARCH; METHODOLOGY; MIDDLE AGED; NATURAL LANGUAGE PROCESSING; OUTCOME ASSESSMENT; PSYCHIATRY; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL MODEL; STATISTICS; THEORETICAL MODEL; TREATMENT RESISTANT DEPRESSION; UNITED STATES;

ADULT; ALGORITHMS; AMBULATORY CARE; BIOMEDICAL RESEARCH; CROSS-SECTIONAL STUDIES; DEPRESSIVE DISORDER, TREATMENT-RESISTANT; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; INTERNATIONAL CLASSIFICATION OF DISEASES; LOGISTIC MODELS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; MODELS, THEORETICAL; NATURAL LANGUAGE PROCESSING; NEW ENGLAND; OUTCOME ASSESSMENT (HEALTH CARE); PSYCHIATRY; ROC CURVE;

EID: 82655165845     PISSN: 00332917     EISSN: 14698978     Source Type: Journal    
DOI: 10.1017/S0033291711000997     Document Type: Review

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