Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts.

Our large data-driven approach using both structured and unstructured EHR data demonstrated accurate and robust first-time suicide attempt prediction, and has the potential to be deployed across various populations and clinical settings.