Researchers developed and validated a risk prediction model using electronic health records from over 100,000 patients with newly diagnosed…
Researchers developed and validated a risk prediction model using electronic health records from over 100,000 patients with newly diagnosed depression, accurately identifying those at higher risk of self-harm within one and three years. The model highlights key risk factors, such as prior self-harm, psychiatric hospitalization, and substance use, and could support earlier, personalized interventions in clinical care. https://www.nature.com/articles/s41380-026-03555-x
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