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Events of the day – A new study from the University of Nottingham found that artificial intelligence could predict the death of patients with chronic diseases.
Scientists and physicians have used data from half a million people to develop a tool to assess patients at risk of premature death.
The tool takes into account a series of factors, from the patient's family history to illness, through the amount of salt consumed, or even the use of the drug and the degree of use of the drug. solar condom.
"Preventive care is a priority in the fight against serious diseases," said Steven Wong, director of the study, an assistant professor of epidemiology and data science.
As a result, we have been working for several years to improve the accuracy of the health risk assessment calculated by the general population.
Most applications focus on one pathology, but the prediction of death resulting from many different diseases is very complex, especially depending on environmental and individual factors. "
The artificial intelligence algorithm is derived from data from 502,628 people aged 40 to 69 who participated in the British Bank's study between 2006 and 2010 and was followed up to date. 2016. The smart model included information on participants' consumption of fruit, vegetables, meat, cheese, cereals, fish and alcohol. .
According to the results published in ONE PLOS, the new technique of industrial intelligence was more accurate at 1.10% compared to current networks (Russia Today).
This article is a "new study: the creation of a smart tool to predict the date of death of a human being," adapted from the site of news events, and does not reflect in any way the site's policy or point of view.
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