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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.
"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. But predicting death due to many disease outcomes is very complex, especially because of environmental and individual factors. "
The artificial intelligence algorithm was created from data from 502,628 people aged 40 to 69 who participated in the British Biosphere Bank study between 2006 and 2010 and who were followed until 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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