Prospective and External Validation of an Ensemble Learning Approach to Sensitively Detect Intravenous Fluid Contamination in Basic Metabolic Panels.
Background Intravenous (IV) fluid contamination within clinical specimens causes an operational burden on the laboratory when detected, and potential patient harm when undetected. Even mild contamination is often sufficient to meaningfully alter results across multiple analytes. A recently reported...
| Publicado en: | Clinical Chemistry Vol. 71; no. 2; pp. 296 - 307 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Oxford University Press / USA
Feb2025
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| Acceso en línea: | Ver este registro en EBSCOhost |