Daily events A new study: create an advanced device that identifies the date of death


Current events – A new study by the University of Nottingham found that there is a prospect of predicting patient deaths with enduring diseases.
Scientists and doctors used data from half a million people to develop a tool that would review prematurely injured patients.

The device includes a range of factors, from the patient's family to the disease, the amount of salt use, and even the use of drugs and the extent of the use of sun condom.

"Protective care is a priority in the fight against serious diseases," said learning director Steven Wong, professor in epidemiology and data science.

Hence we have been working for a number of years to improve the accuracy of health assessments calculated by the public.

Most applications focus on one pathology, but death is predicted from many different disease outputs, especially as a result of environmental and individual factors. "

The mental understanding algorithm emerged from the data of 502,628 people aged 40 to 69 who participated in a British Bank survey between 2006 and 2010 and was continued until 2016. The smart model offered to include information on eating fruit, vegetables, meat, cheese, cereals, fish and drink.

According to the results published in ONE PLOS, the current intelligence format was more detailed at 1.10% of current networks (Russia)

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