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Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data
BACKGROUND: In the early stages of the COVID-19 pandemic our institution was interested in forecasting how long surgical patients receiving elective procedures would spend in the hospital. Initial examination of our models indicated that, due to the skewed nature of the length of stay, accurate pred...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035272/ https://www.ncbi.nlm.nih.gov/pubmed/35462534 http://dx.doi.org/10.1186/s12911-022-01855-0 |