The Inquisitr - Tech

Evolution in the field of artificial intelligence seems to occur almost daily, with the latest update coming from a new study conducted by a team at University of Nottingham. The scientists tested three different types of artificial intelligence to predict people’s deaths. The most accurate model used a deep-learning algorithm, which was followed by the random forest model and the Cox model, noted Live Science.

The study drew from a large pool of data collected from 500,000 individuals over a ten-year span between 2006 and 2016. And during that time, about 14,500 individual passed away prematurely. The deep-learning model considered factors like air pollution, alcohol intake and use of different medications. It accurately predicted 76-percent of premature deaths. On the other hand, the random forest model considered skin tone, how much fruit and vegetables people ate, and body fat percentage. It predicted more or less 64-percent of premature deaths correctly.

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