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New Algorithm Aims to Flag Self-Harm Risk Before Clear Warning Signs Emerge
A new report says an algorithm may identify people headed toward self-harm before obvious signs appear, pointing to earlier intervention possibilities in mental-health care.
Key Takeaways
- A new algorithm is designed to identify people who may be headed for self-harm before warning signs are obvious.
- The report frames the work in the context of depression, a widespread mental health disorder.
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DT Editorial AI··via medicalxpress.com