Diagnostic accuracy of machine learning approaches for suicide‑related outcomes: a meta‑analysis
Abstract Objective This diagnostic test accuracy meta-analysis aimed to provide clinically interpretable estimates (sensitivity, specificity, likelihood ratios (LR), predictive value (PV) and post‑test probabilities) for machine‑learning (ML) models predicting suicide‑related outcomes. Methods A sys...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BMC
2026-05-01
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| Series: | Annals of General Psychiatry |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1186/s12991-026-00671-4 |
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