Machine learning identifies suicidal patterns with 93 percent accuracy

Credit: Pixabay Anywhere from 30 percent to two-thirds of all suicide attempts are based on an impulse decision — the last drop in the bucket. We know this from the accounts of people who made near-fatal suicide attempts, 70 percent of whom made a decision in less than an hour. But while this measure of last resort is often taken on a whim, studies suggest that there are patterns that describe suicidal behaviour. If you have the right eyes, you can spot them then offer the necessary support and guidance, averting an unnecessary fatality. Robots, who can work tirelessly, might be our best ‘eyes’ even for spotting people contemplating suicide, say researchers who used machine learning. The team led by John Pestian, a professor in the divisions of Biomedical Informatics and…


Link to Full Article: Machine learning identifies suicidal patterns with 93 percent accuracy

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