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Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients
Patients admitted to the intensive care unit frequently have anemia and impaired renal function, but often lack historical blood results to contextualize the acuteness of these findings. Using data available within two hours of ICU admission, we developed machine learning models that accurately (AUC...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6884624/ https://www.ncbi.nlm.nih.gov/pubmed/31815192 http://dx.doi.org/10.1038/s41746-019-0192-z |