A clinical risk stratification tool for predicting treatment resistance in major depressive disorder

Biological Psychiatry

Volumn 74, Issue 1, 2013, Pages 7-14

  Perlis, Roy H ^a  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

Antidepressant; depression; machine learning; prediction; risk stratification; selective serotonin reuptake inhibitor; treatment resistant depression

Indexed keywords

AMFEBUTAMONE; BUSPIRONE; CITALOPRAM; SERTRALINE; VENLAFAXINE;

ADULT; AFRICAN AMERICAN; AGED; AREA UNDER THE CURVE; ARTICLE; BAYES THEOREM; CALIBRATION; CLINICAL ASSESSMENT TOOL; DISEASE SEVERITY; DRUG SUBSTITUTION; EDUCATION; ENERGY; FALSE POSITIVE RESULT; FAMILY; FEMALE; HUMAN; INJURY; INSOMNIA; MACHINE LEARNING; MAJOR DEPRESSION; MALE; MARRIAGE; MENTAL PATIENT; POSTTRAUMATIC STRESS DISORDER; PREDICTION; PRIORITY JOURNAL; RECURRENT DISEASE; REMISSION; RISK ASSESSMENT; SELF REPORT; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; WITNESS;

ADOLESCENT; ADULT; AGED; ARTIFICIAL INTELLIGENCE; COHORT STUDIES; DECISION SUPPORT TECHNIQUES; DEPRESSIVE DISORDER, MAJOR; DEPRESSIVE DISORDER, TREATMENT-RESISTANT; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; YOUNG ADULT;

EID: 84879321551     PISSN: 00063223     EISSN: 18732402     Source Type: Journal    
DOI: 10.1016/j.biopsych.2012.12.007     Document Type: Article

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