Classification trees distinguish suicide attempters in major psychiatric disorders: a model of clinical decision making.
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Sleep Duration and Insomnia Symptoms as Risk Factors for Suicidal Ideation in a Nationally Representative SampleCross-national analysis of the associations among mental disorders and suicidal behavior: findings from the WHO World Mental Health SurveysIntegration of PKPD relationships into benefit-risk analysisModifiable risk factors predicting major depressive disorder at four year follow-up: a decision tree approach.Finding structure in data using multivariate tree boosting.Stratification of the severity of critically ill patients with classification trees.Suicidal behaviour in mood disorders--who, when, and why?Can we really prevent suicide?Twelve-month prevalence of and risk factors for suicide attempts in the World Health Organization World Mental Health Surveys.The Risk of Repetition of Attempted Suicide Among Iranian Women with Psychiatric Disorders as Quantified by the Suicide Behaviors Questionnaire.Does PTSD moderate the relationship between social support and suicide risk in Iraq and Afghanistan War Veterans seeking mental health treatment?Can classification tree analyses help improve decision making about treatments for depression and anxiety disorders? A preliminary investigation.Reasons for living and hope as the protective factors against suicidality in Chinese patients with depression: a cross sectional studyRegional brain metabolic correlates of self-reported depression severity contrasted with clinician ratingsExamining the relation between posttraumatic stress disorder and suicidal ideation in an OEF/OIF veteran sample.Factors associated with caregiver stability in permanent placements: a classification tree approach.Regional brain glucose uptake distinguishes suicide attempters from non-attempters in major depression.Improving the short-term prediction of suicidal behaviorPredictors and patterns of problematic Internet game use using a decision tree model.Clinical Correlates of Planned and Unplanned Suicide AttemptsGender Differences in Machine Learning Models of Trauma and Suicidal Ideation in Veterans of the Iraq and Afghanistan Wars.Correlates of Attempted Suicide from the Emergency Room of 2 General Hospitals in Montreal, Canada.Understanding suicide risk within the Research Domain Criteria (RDoC) framework: A meta-analytic review.Implicit identification with death predicts change in suicide ideation during psychiatric treatment in adolescents.
P2860
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P2860
Classification trees distinguish suicide attempters in major psychiatric disorders: a model of clinical decision making.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on January 2008
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Classification trees distingui ...... l of clinical decision making.
@en
Classification trees distingui ...... l of clinical decision making.
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type
label
Classification trees distingui ...... l of clinical decision making.
@en
Classification trees distingui ...... l of clinical decision making.
@nl
prefLabel
Classification trees distingui ...... l of clinical decision making.
@en
Classification trees distingui ...... l of clinical decision making.
@nl
P2093
P2860
P1476
Classification trees distingui ...... l of clinical decision making.
@en
P2093
Beth S Brodsky
Christine M Waternaux
Dianne Currier
Gretchen L Haas
J John Mann
Kevin M Malone
Steven P Ellis
Xinhua Liu
P2860
P577
2008-01-01T00:00:00Z