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Evaluation of the Recovery Engagement and Coordination for Health–Veterans Enhanced Treatment Suicide Risk Modeling Clinical Program in the Veterans Health Administration
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Evaluation of the Recovery Engagement and Coordination for Health–Veterans Enhanced Treatment Suicide Risk Modeling Clinical Program in the Veterans Health Administration (2021)Evaluation of the Recovery Engagement and…Predicting Suicide Attempts and Suicide Deaths Following Outpatient Visits Using Electronic Health Records (2018)Predicting Suicide Attempts a…Developing a practical suicide risk prediction model for targeting high‐risk patients in the Veterans health Administration (2017)Developing a practical suicid…Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research. (2016)Risk factors for suicidal tho…Predictive Modeling and Concentration of the Risk of Suicide: Implications for Preventive Interventions in the US Department of Veterans Affairs (2015)Predictive Modeling and Conce…Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments (2014)Risk stratification using dat…Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers (2014)Predicting Suicides After Psy…Suicide Mortality Among Patients Receiving Care in the Veterans Health Administration Health System (2009)Suicide Mortality Among Patie…Health Belief Model and Personal Health Behavior (1976)Health Belief Model and Perso…The Health Belief Model and Sick Role Behavior (1974)The Health Belief Model and S…Detection of suicidal patients: An example of some limitations in the prediction of infrequent events. 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(2017)The integrated motivational–volitional model of suicidal behaviour (2018)Introduction to Meta‐Analysis (2021)Handbook of Religion and Health (2023)Modelling suicide and unemployment: a longitudinal analysis covering 63 countries, 2000–11 (2015)Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health (2016)Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps (2018)The use of machine learning in the study of suicidal and non-suicidal self-injurious thoughts and behaviors: A systematic review (2018)Understanding Why Patients May Not Report Suicidal Ideation at a Health Care Visit Prior to a Suicide Attempt: A Qualitative Study (2018)The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review (2010)The Columbia–Suicide Severity Rating Scale: Initial Validity and Internal Consistency Findings From Three Multisite Studies With Adolescents and Adults (2011)Variation in patterns of health care before suicide: A population case-control study (2019)The Health Belief Model: A Decade Later (1984)Social Learning Theory and the Health Belief Model (1988)Qualitative methods for health research (2009)
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References

  • 2016Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research.3,773 cited
  • 1976Health Belief Model and Personal Health Behavior3,064 cited
  • 1974The Health Belief Model and Sick Role Behavior2,326 cited
  • 2014Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers447 cited
  • 2018Predicting Suicide Attempts and Suicide Deaths Following Outpatient Visits Using Electronic Health Records399 cited
  • 2015Predictive Modeling and Concentration of the Risk of Suicide: Implications for Preventive Interventions in the US Department of Veterans Affairs250 cited
  • 2009Suicide Mortality Among Patients Receiving Care in the Veterans Health Administration Health System220 cited
  • 2017Developing a practical suicide risk prediction model for targeting high‐risk patients in the Veterans health Administration209 cited
  • 2014Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments150 cited
  • 1954Detection of suicidal patients: An example of some limitations in the prediction of infrequent events.133 cited

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