ICU Length of Stay Prediction and Efficiency Evaluation R package SLOS version 1.0.1 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>. Software Depends: R (>= 3.5.0) Imports: httr, MLmetrics, ems, dplyr, ggplot2, magrittr, caretEnsemble, ranger Suggests: testthat Joana da Matta <joana.damatta02@gmail.com> Comprehensive R Archive Network (CRAN) Igor Peres [aut], Joana da Matta [cre] MIT + file LICENSE (https://CRAN.R-project.org/package=SLOS/LICENSE) 2025-02-06 application/tgz https://CRAN.R-project.org/package=SLOS doi:10.32614/CRAN.package.SLOS