Explainable Artificial Intelligence for Early Prediction of Pressure Injury Risk.
Background: Hospital-acquired pressure injuries (HAPIs) have a major impact on patient outcomes in intensive care units (ICUs). Effective prevention relies on early and accurate risk assessment. Traditional risk-assessment tools, such as the Braden Scale, often fail to capture ICU-specific factors,...
| Publicado en: | American Journal of Critical Care Vol. 33; no. 5; pp. 373 - 382 |
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| Autores principales: | , , , , , , , |
| Formato: | CEU research Journal Article |
| Publicado: |
American Association of Critical-Care Nurses
Sep2024
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| Acceso en línea: | Ver este registro en EBSCOhost |