Computer technology known as machine learning can assess a person’s spoken or written words and accurately identify whether that person is suicidal, mentally ill but not suicidal, or neither.
The new computer tool is up to 93 percent accurate in correctly classifying a suicidal person and 85 percent accurate in identifying a person who is suicidal, has a mental illness but is not suicidal, or neither.
These results provide strong evidence for using advanced technology as a decision-support tool to help clinicians and caregivers identify and prevent suicidal behavior, say researchers at Cincinnati Children’s Hospital Medical Center.
“These computational approaches provide novel opportunities to apply technological innovations in suicide care and prevention, and it surely is needed,” says John Pestian, Ph.D., professor in the divisions of Biomedical Informatics and Psychiatry and the study’s lead author.
[For more of this story, written by Rick Nauert, go to http://psychcentral.com/news/2...om-words/112233.html]
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