How children talk can indicate risk for future mental health problems
Researchers have developed natural language processing models that can predict future mental health issues in children by analyzing their speech patterns during stressful events. The study found that sentence structure and word usage are more predictive than the actual content of the children's stories.
Why it matters
This technology could provide a scalable, non-invasive method for early intervention in adolescent mental health, potentially preventing the onset of severe disorders.
edited by Gaby Clark , reviewed by Robert Egan
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Add as preferred source Credit: Sóc Năng Động from Pexels Linguistic models that analyzed the words children used when talking about stressful events were better at predicting future mental health problems than a panel of human experts.
In a study published in Nature Mental Health , researchers used four natural language processing models to evaluate recorded interviews of more than 200 children, ages 9 to 13, as they talked about stressful events in their lives. The models were highly accurate at predicting whether these same children developed mental health conditions six years later.
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