J. von Trott

Predicting Depression Risk in Early Intervention in Psychosis Services: A Machine Learning Study Utilising Electronic Health Records and Natural Language Processing.

INTRODUCTION Depression is prevalent in early psychosis and associated with poorer functional outcomes and suicide risk. Early identification of depression risk is critical to inform targeted interventions. This study aimed to develop models to predict depression risk using electronic health records (EHRs) from patient...