Researchers develop machine learning models that could improve suicide-risk prediction among children
University of California, Los Angeles (UCLA), Health SciencesA new study from UCLA Health researchers finds that the typical ways health systems store and track data on children receiving emergency care miss a sizable portion of those who are having self-injurious thoughts or behaviors. The researchers also found that several machine learning models they designed were significantly better at identifying those children at risk of self-harm.