A random forest algorithm-based approach to capture latent decision variables and their cutoff values.
Although reference intervals (RIs) and clinical decision limits (CDLs) are vital laboratory information for supporting the interpretation of numerical clinical pathology results, there is evidence that RIs and CDLs vary in certain contexts as well as other evidence that RIs and CDLs are flawed. We p...
| Publicado en: | Journal of Biomedical Informatics Vol. 110 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Academic Press Inc.
Oct2020
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| Acceso en línea: | Ver este registro en EBSCOhost |