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Machine Learning Uncovers Hidden Self-Harm History in Veterans' Medical Records
A new machine learning method reveals that self-harm history in veterans is vastly undercounted by standard diagnosis codes, with implications for mental health care planning.
Key Takeaways
- Standard diagnosis codes capture only about one-fourth of clinically documented self-harm history in VHA records.
- Machine learning analysis of 1.3 million veterans' records estimated 7.9% had documented self-harm, vs. 1.85% from codes alone.
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DT Editorial Team··via medicalxpress.com