Quantifying the impact of addressing data challenges in prediction of length of stay

BACKGROUND: Prediction of length of stay (LOS) at admission time can provide physicians and nurses insight into the illness severity of patients and aid them in avoiding adverse events and clinical deterioration. It also assists hospitals with more effectively managing their resources and manpower....

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Detalles Bibliográficos
Autores principales: Naemi, Amin, Schmidt, Thomas, Mansourvar, Marjan, Ebrahimi, Ali, Wiil, Uffe Kock
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576901/
https://www.ncbi.nlm.nih.gov/pubmed/34749708
http://dx.doi.org/10.1186/s12911-021-01660-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576901/
https://www.ncbi.nlm.nih.gov/pubmed/34749708
http://dx.doi.org/10.1186/s12911-021-01660-1

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