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Wellesley College, Harvard University, Harvard Medical School Massachusetts General Hospital
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Personalized suicide risk forecasting is significantly improved by embedding patients in a latent space that models similarity, outperforming pooled and per-patient models by up to 30% for first-occurrence event prediction.
