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In addition, artificial intelligence offers humanity an incredible opportunity to take advantage of the incredible computing power that can be used in a variety of ways, including cancer detection. But can a computer tell us when we will have an untimely end?
Researchers at the University of Nottingham have decided to find out, and what they have discovered is that an automatic learning system does not only predict the mortality chances of individuals diseases, it's actually better. The system, which has badimilated data from more than 500,000 people, has been able to guess which people would perish better than models developed by human physicians.
The algorithm used in the study had to deal with an incredible amount of information, including lifestyle differences and eating habits of a large part of the British population.
"We have taken a big step forward in this area by developing a unique and holistic approach to predicting the risk of premature death of a person through machine learning," said Dr. Stephen Weng, lead author of the book, in a statement. "This uses computers to create new risk prediction models that take into account a wide range of demographic, biometric, clinical, and lifestyle factors for each individual badessed, even their dietary intake of fruits, vegetables, and meat. per day."
The research team used data from the British Biobank for more than half a million people aged 40 to 69 years old. The data was collected between 2006 and 2016, and then the algorithm was instructed to predict the group's mortality rates.
"We mapped the resulting forecasts with mortality data from the cohort, using the Office of National Statistics death records, the UK cancer registry, and" hospital episode "statistics. said Weng. "We found that machine-learned algorithms were much more accurate at predicting death than standard prediction models developed by a human expert."
The study, while impressive, is only one step in a broader effort to develop machine learning systems that can provide personalized health insights to individuals. At some point in the not-too-distant future, computers can tell each of us which problems represent the greatest danger and how to overcome them.
Source of the picture: Nutteeraded
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