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Washington – Yemen today
Researchers at the University of Nottingham, an artificial intelligence tool, can predict whether a person will die before the time. The artificial intelligence algorithms used can highlight patients at risk for chronic disease related to premature death.
The researchers used public health data from 2006 to 2016 on just over half a million people in the UK. During this period, approximately 14,500 study participants died mainly from cancer and heart and lung diseases, which the tool was able to predict: the accuracy of the predictions was 76%.
"As preventive health care is a growing priority in the fight against serious diseases, we have been working for several years to improve the accuracy of the computerized assessment of health risks to the general population," said the Minister. Dr. Stephen Wing, Principal Investigator Because of so many different diseases, it is very complicated. "
Wing said his team's latest research was a "big step forward" in predicting premature death in many patients. Several factors, including age, whether the patient is a smoker or not, and the pre-cancer diagnosis, have played a key role in the process of predicting the premature death of a person.
The instrument used also excludes factors such as physical activity, body fat, amount of fruits, vegetables, alcohol consumed by the person and air pollution in the area in which it lives to predict when he will die.
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