Machine learning can help identify suicidal behaviour

New York: Using a person’s spoken or written words, computer technology known as machine learning can help clinicians and caregivers identify with great accuracy whether that person is suicidal or not, according to a new study.These results provide strong evidence for using advanced technology as a decision-support tool to help clinicians and caregivers identify and prevent suicidal behaviour, said the study’s lead author John Pestian, Professor at Cincinnati Children’s Hospital Medical Center in Ohio, US.The study, published in the journal Suicide and Life-Threatening Behavior, showed that machine learning is up to 93 per cent accurate in correctly classifying a suicidal person.For the study, Pestian and his colleagues enrolled 379 patients in the study from emergency departments and inpatient and outpatient centres at three sites.Those enrolled included patients who were suicidal,…

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