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Volumn 14, Issue 1, 2014, Pages

Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments

Author keywords

Electronic medical record; Predictive models; Suicide risk

Indexed keywords

ADOLESCENT; ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; AUTOMUTILATION; CHILD; CLINICAL ASSESSMENT; COHORT ANALYSIS; COMPARATIVE STUDY; DEMOGRAPHY; DRUG INTOXICATION; ELECTRONIC MEDICAL RECORD; EMERGENCY WARD; FEMALE; FOLLOW UP; HEALTH CARE UTILIZATION; HIGH RISK BEHAVIOR; HOSPITAL ADMISSION; HUMAN; INJURY; MAJOR CLINICAL STUDY; MALE; MENTAL HEALTH; PREDICTION; PREDICTIVE VALUE; PREDICTOR VARIABLE; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; RISK ASSESSMENT; RISK FACTOR; SENSITIVITY AND SPECIFICITY; SEX DIFFERENCE; SUICIDAL BEHAVIOR; SUICIDE ATTEMPT; VERY ELDERLY; ANAMNESIS; AUSTRALIA; EMERGENCY HEALTH SERVICE; EPIDEMIOLOGY; MIDDLE AGED; PROGNOSIS; PSYCHOLOGY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; SUICIDAL IDEATION; SUICIDE; UTILIZATION; YOUNG ADULT;

EID: 84899564545     PISSN: None     EISSN: 1471244X     Source Type: Journal    
DOI: 10.1186/1471-244X-14-76     Document Type: Article
Times cited : (97)

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