Optimizing intensive care capacity using individual length-of-stay prediction models

INTRODUCTION: Effective planning of elective surgical procedures requiring postoperative intensive care is important in preventing cancellations and empty intensive care unit (ICU) beds. To improve planning, we constructed, validated and tested three models designed to predict length of stay (LOS) i...

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Detalles Bibliográficos
Autores principales: Van Houdenhoven, Mark, Nguyen, Duy-Tien, Eijkemans, Marinus J, Steyerberg, Ewout W, Tilanus, Hugo W, Gommers, Diederik, Wullink, Gerhard, Bakker, Jan, Kazemier, Geert
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2206463/
https://www.ncbi.nlm.nih.gov/pubmed/17389032
http://dx.doi.org/10.1186/cc5730

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2206463/
https://www.ncbi.nlm.nih.gov/pubmed/17389032
http://dx.doi.org/10.1186/cc5730

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