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日本語
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English
New research suggests that machine learning can predict, with 80-90 percent accuracy, if a person is likely to attempt suicide. The prediction can extend up to two years into the future. The predictions about suicide have come via a special algorithm. This was developed by surveying a mass of data relating to patients: the electronic health records of about 2 million patients in the U.S. state of Tennessee. From these, 3,200 people had attempted suicide. The system began to work out what was different about the 3,200 people from the 2 million population. The computer program was able to assess how different variables interact with one another as a whole. From this, the combination of factors likely to lead to a person contemplating suicide could be tracked.
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