Development and validation of the Behavioral Health Acuity Risk model: a predictive model for suicide prevention through clinical interventions
Digumarthi, V.; Strange, H. E.; Norman, H. B.; Ayers, D.; Patel, R.; Hegarty, K. E.
Show abstract
Common suicidal ideation screening tools used in healthcare settings rely on the willingness of the patient to express having suicidal thoughts. We present an automatic and data-driven risk model that examines information available in the medical record captured during the normal course of care. This model uses random forests to assess the likelihood of suicidal behavior in patients aged seven or older presenting at any healthcare setting. The Behavioral Health Acuity Risk (BHAR) model achieves an area under the receiver operating curve (AUC) of 0.84 and may be used on its own or as a component of a comprehensive suicidal behavior risk assessment.
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