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A new study, conducted by the University of Nottingham, has revealed that artificial intelligence can help predict the death of patients with chronic diseases.
Scientists and physicians have used half a million pieces of data to develop the tool to review patients at risk of premature death.
The tool takes into account a series of factors, ranging 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. solar condom.
"Preventive care is a priority in the fight against serious diseases," said lead author Stephen Wong, an assistant professor of epidemiology and data science. We have been working for several years to improve the accuracy of the calculated health risk assessment for the general population. Most applications focus on a pathology, but the prediction of death due to many disease outcomes is very complex, especially because of environmental and individual factors. "
The artificial intelligence algorithm was constructed from data from 502,628 people aged 40 to 69 years who participated in the 2006-2006 British Bank study and was followed up to date. in 2016.
The smart model included information about the consumption of fruits, vegetables, meat, cheese, cereals, fish and alcohol by the participants.
According to the results published in the magazine "PLOS ONE", the new artificial intelligence technology was 10.1% more accurate than current networks.
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