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New Algorithm Aims to Flag Self-Harm Risk Before Clear Warning Signs Emerge
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.
- The main promise is earlier intervention, though the supplied material does not provide technical performance details.
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DT Editorial Team··via medicalxpress.com