Representative image (Pic: Express) In order to accurately identify patients with a mix of psychotic and depressive symptoms, researchers from the University of Birmingham recently developed a way of using machine learning to do so. The findings of the research were published in the journal 'Schizophrenia Bulletin'. Patients with depression or psychosis rarely experience symptoms of purely one or the other illness. Historically, this has meant that mental health clinicians give a diagnosis of a 'primary' illness, but with secondary symptoms. Making an accurate diagnosis is a big challenge for clinicians and diagnoses often do not accurately reflect the complexity of individual experience or indeed neurobiology.