Digital tools using machine learning to analyze a person’s spoken or written words could be instrumental in aiding mental health clinicians in assessments determining whether that person is suicidal, researchers have found.
A new study published in the journal Suicide and Life-Threatening Behavior found machine learning is 93 percent accurate in correctly identifying a suicidal person, and is 85...
