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Children experiencing cognitive problems such as low attention, poor memory or lack of inhibition may later suffer mental health issues as teenagers and young adults, a new study reveals.
Targeting specific markers in childhood for early treatment may help to minimise the risk of children developing certain psychopathological problems in adolescence and adult life, such as borderline personality disorder, depression and psychosis.
Cognitive deficits are core features of mental disorders and important in predicting long-term prognosis - the researchers work indicates that individual patterns of such deficits predate specific mental disorders.
Analysing data from an initial UK cohort of 13,988 individuals born between April 1991 and December 1992, researchers discovered a number of key and specific links between childhood cognitive problems and mental health issues in later life, namely:
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.
Machine learning could aid mental health diagnoses: Study parisguardian.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from parisguardian.com Daily Mail and Mail on Sunday newspapers.
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.