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

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

Background: To date, our ability to accurately identify patients at high risk from suicidal behaviour, and thus to target interventions, has been fairly limited. This study examined a large pool of factors that are potentially associated with suicide risk from the comprehensive electronic medical re...

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Bibliographic Details
Main Authors:	Tran, The Truyen, Luo, W., Phung, D., Harvey, R., Berk, M., Kennedy, R., Venkatesh, S.
Format:	Journal Article
Published:	BioMed Central Ltd. 2014
Online Access:	http://hdl.handle.net/20.500.11937/45288

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