Leveraging natural language processing to improve electronic health record suicide risk prediction for Veterans Health Administration users - Levis M, Levy J, Dent KR, Dufort V, Gobbel GT, Watts BV, Shiner B.

BACKGROUND: Suicide risk prediction models frequently rely on structured electronic health record (EHR) data, including patient demographics and health care usage variables. Unstructured EHR data, such as clinical notes, may improve predictive accuracy by ...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Research Methods, Surveillance and Codes, Models Source Type: news