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.
Researchers develop way of using machine learning to aid mental health diagnoses ANI | Updated: Feb 24, 2021 09:26 IST
Washington [US], February 24 (ANI): A team of researchers at the University of Birmingham have developed a way of using machine learning to more accurately identify patients with a mix of psychotic and depressive symptoms.
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.
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A way of using machine learning to more accurately identify patients with a mix of psychotic and depressive symptoms has been developed by researchers at the University of Birmingham.
A way of using machine learning to more accurately identify patients with a mix of psychotic and depressive symptoms has been developed by researchers at the University of Birmingham.