Statistical modelling of symptom dimensions in psychotic disorders
This study uses recently developed natural language processing applications to ascertain mentions of different psychotic symptoms in text fields and seeks to identify potential underlying dimensions: for example, manic, disorganisation, positive, negative and catatonic.