'ML technique could aid mental health diagnoses', according to a study conducted by University of Birmingham

While patients with depression as a primary illness are more likely to be diagnosed accurately, patients with depression and psychosis rarely experience symptoms of purely one or the other illness. For the study, published in the journal Schizophrenia Bulletin, the team explored the possibility of using ML to create highly accurate models of 'pure' forms of both illnesses and to use these to investigate the diagnostic accuracy of a cohort of patients with mixed symptoms.

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