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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.
"Since preventative care is a priority in the fight against serious diseases, we have been working for several years to improve the accuracy of the health risk assessment calculated for the general population," said L & # 's Lead author Stephen Wong, associate professor of epidemiology and data science. However, predicting deaths from many different diseases is very complex, particularly 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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