Investigating vocabulary used to report symptoms of psychosis in electronic health records
In mental health records, the vocabulary used to describe psychosis symptoms can be highly variable (i.e. many different words or expressions may possibly be used to describe a single symptom), making it challenging to gain information from text fields in the record. The aim of this project is to develop a novel approach to model and extract symptoms starting from multiple documents, with an initial focus on patients with psychosis.