An explainable machine learning model for comorbidity risk stratification in patients with fractures admitted to the intensive care unit: a multicenter study.
• Combines 3763 MIMIC-IV cases with 558 external validations to enhance clinical generalizability. • Assesses comorbidity risk based on admission indicators.. • Eliminates AI black-box effects via quantifiable feature contribution analysis. • Deploys interactive calculator for real-time risk assess...
| Publicado en: | Archives of Gerontology & Geriatrics Vol. 141 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Feb2026
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| Acceso en línea: | Ver este registro en EBSCOhost |