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SLOS
View on CRAN: Click
here
Download and install SLOS package within the R console
Install from CRAN:
install.packages("SLOS")
Install from Github:
library("remotes")
install_github("cran/SLOS")
Install by package version:
library("remotes")
install_version("SLOS", "1.0.1")
Attach the package and use:
library("SLOS")
Maintained by
Joana da Matta
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-20
Latest Update: 2025-01-20
Description:
Provides tools for predicting ICU length of stay and assessing ICU efficiency. It is based on the methodologies proposed by Peres et al. (2022, 2023), which utilize data-driven approaches for modeling and validation, offering insights into ICU performance and patient outcomes. References: Peres et al. (2022)<https://pubmed.ncbi.nlm.nih.gov/35988701/>, Peres et al. (2023)<https://pubmed.ncbi.nlm.nih.gov/37922007/>. More information: <https://github.com/igor-peres/ICU-Length-of-Stay-Prediction>.
How to cite:
Joana da Matta (2025). SLOS: ICU Length of Stay Prediction and Efficiency Evaluation. R package version 1.0.1, https://cran.r-project.org/web/packages/SLOS. Accessed 17 Feb. 2025.
Previous versions and publish date:
1.0.0 (2025-01-20 17:02)
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