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Improved risk prediction of chemotherapy‐induced neutropenia—model development and validation with real‐world data
BACKGROUND: The existing risk prediction models for chemotherapy‐induced febrile neutropenia (FN) do not necessarily apply to real‐life patients in different healthcare systems and the external validation of these models are often lacking. Our study evaluates whether a machine learning‐based risk pr...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817096/ https://www.ncbi.nlm.nih.gov/pubmed/34859963 http://dx.doi.org/10.1002/cam4.4465 |