Creepy AI can predict who will die early from cancer and heart disease with ‘unsettling accuracy’

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SCIENTISTS have created artificial intelligence with the ability to predict if someone will die early.

The AI algorithms can highlight patients at risk of a chronic disease related to an early demise, which could “greatly improve” preventative healthcare in the future.

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The tech could be the future of preventative medicine[/caption]

Researchers at the University of Nottingham trained computer-based ‘machine learning’ algorithms to evaluate general health data submitted between 2006 to 2016 by just over half a million middle aged people in the UK.

During this time almost 14,500 of the study participants died, primarily from cancer, heart disease and lung diseases, which the deep learning algorithm predicted with 76% accuracy.

Lead researchers Dr Stephen Weng said: “Preventative healthcare is a growing priority in the fight against serious diseases so we have been working for a number of years to improve the accuracy of computerised health risk assessment in the general population.

“Most applications focus on a single disease area but predicting death due to several different disease outcomes is highly complex.”

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Factors such as age, gender and what patients ate and drank all played a roll in the death predictions[/caption]

Weng added that his team’s latest research is a “major step forward” in the predicting premature death field.

Factors including age, gender, smoking history and a prior cancer diagnosis played a key role in the likelihood of a person’s early death.

However, some of the predictive models also took into account ethnicity, physical activity, body fat, the amount of fruit and vegetables a person ate, alcohol consumption and air pollution.

The researchers believe that AI is a vital part of the future of personalised medicine but their latest technique will require more research before it can be widely applied.


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Would you want to find out your predicted life expectancy? Let us know in the comments…


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