ML technique could aid mental health diagnoses: Study
By IANS |
Published on
Tue, Feb 9 2021 12:36 IST |
0 Views
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.
British Airways is the latest carrier to tie up with a sustainable alcohol-to-fuel initiative established last year by carbon recycling and biotechnology firm LanzaTech.
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.
At least one minister of religion is of the view that members of the Christian community should exercise a sense of humility, rather than arrogance regarding the issue of whether to legalise abortion in Jamaica.
At the same time, Rector at Christ Church in Vineyard Town, Reverend Father Sean Major-Campbell, has also posited that abortion is not an issue for the church, but rather the state. When it comes to human rights issues like safe access to abortions, it is a matter that the state needs to address, he contended.
He was one of the panellists at a recent webinar hosted by the Caribbean Policy Research Institute (CAPRI) as it presented its findings in a European Union-funded report titled: ‘Coming to Terms: The Social Costs of Unequal Access to Safe Abortions’.
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.