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Artificial intelligence has made new breakthroughs and can predict human lifespan with high accuracy

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Release: 2023-12-20 17:37:05
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The rapid development of artificial intelligence not only brings convenience to work and life, but can also predict a person's death time. Scientists are currently developing a "death prediction robot" that uses artificial intelligence to process people's health, education, occupation, income, address and work patterns and other information to predict when the test subject will die

Artificial intelligence has made new breakthroughs and can predict human lifespan with high accuracy

Danish scientists said they are building a system using data collected on 6 million Danes between 2008 and 2020. This system views human life as a series of events, similar to how sentences in language are composed of a series of words.

"We use this model to be able to predict your future events based on your past situations and events," said Suen Lehmann Jorgensen of the Technical University of Denmark. In the testing phase, the researchers selected a group of people aged between Among people aged 35 to 65, half died between 2016 and 2020. The researchers fed the system data from 2008 to 2016 and were asked to predict who was still alive and who had died. The automated system's prediction accuracy is as high as 78.8%, making it the most accurate human life analysis system to date

Artificial intelligence has made new breakthroughs and can predict human lifespan with high accuracy

Jorgensen also pointed out that the model is more accurate than the "actuarial life tables" used by insurance companies, which are only 55.5% accurate. However, this model "should not be adopted by insurance companies" because the whole idea of ​​insurance is that we cannot predict who will be hit by an unfortunate event, leaving everyone with a certain amount of mental stress.

Researchers remind us that assessing a tool’s accuracy requires testing. For people aged 30 to 60, mortality is often "unpredictable." Therefore, we need further research before using this model to assess "individual risk"

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source:sohu.com
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