Optimizing detection of self-harm in children and adolescents through electronic health record analysis and machine learning

Journal of the American Academy of Child & Adolescent Psychiatry(2023)

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Abstract
This research aimed to assess the accuracy of ICD-10 codes and the chief complaint in identifying self-injurious thoughts and behaviors among children receiving emergency department care, to identify differences in detection based on demographics and type of self-injury, and to improve detection using machine learning.
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Key words
electronic health record analysis,adolescents,machine learning,self-harm
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