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An argument for reporting data standardization procedures in multi-site predictive modeling: case study on the impact of LOINC standardization on model performance
OBJECTIVES: We aimed to gain a better understanding of how standardization of laboratory data can impact predictive model performance in multi-site datasets. We hypothesized that standardizing local laboratory codes to logical observation identifiers names and codes (LOINC) would produce predictive...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435008/ https://www.ncbi.nlm.nih.gov/pubmed/30944914 http://dx.doi.org/10.1093/jamiaopen/ooy063 |