Using Natural Language Processing on Electronic Health Records to Enhance Detection and Prediction of Psychosis Risk

Abstract

Using NLP on EHRs can considerably enhance the prognostic accuracy of psychosis risk calculators. This can help identify patients at risk of psychosis who require assessment and specialized care, facilitating earlier detection and potentially improving patient outcomes.