ML technique could aid mental health diagnoses: Study
By IANS |
Published on
Tue, Feb 9 2021 12:36 IST |
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Artificial Intelligence.. Image Source: IANS News
London, Feb 9 : Researchers have developed a new Machine Learning (ML) technique to more accurately identify patients with a mix of psychotic and depressive symptoms.
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.
Those with psychosis with depression have symptoms which most frequently tend towards the depression dimension.
Historically, this has meant that mental health clinicians give a diagnosis of a primary illness, but with secondary symptoms.
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Jason Jepson
Jason Jepson grew up in Virginia. He was diagnosed with schizoaffective Disorder while he was enlisted in the United States Army. Jason lives in Richmond, Virginia where he is active on the Veterans Council at the McGuire Veterans Hospital. Jason began his mental health advocacy with NAMI and has since gone on to volunteer with the Share Network, an arm of Janssen Pharmaceuticals. His story of recovery has been published in numerous online and print publications such as Yahoo News, The Mighty, and OC87 Recovery Diaries. Having obtained an Associate Degree from J. Sargeant Reynolds Community College in Richmond, Jason’s true love is writing. He has written two books, When We Were Young, a fictionalized memoir of his late teens, and a book of poetry called Misfires of a Lyrical Mind. Jason is proudest, however, of his first person accounts that are published several times a year in Schizophrenia Bulletin, an academic journal published by Oxford Press. He i