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>.
Version: 1.0.1 Depends: R (≥ 3.5.0) Imports: httr, MLmetrics, ems, dplyr, ggplot2, magrittr, caretEnsemble, ranger Suggests: testthat Published: 2025-02-06 DOI: 10.32614/CRAN.package.SLOS Author: Igor Peres [aut], Joana da Matta [cre] Maintainer: Joana da Matta <joana.damatta02 at gmail.com> License: MIT + file LICENSE NeedsCompilation: no Materials: NEWS CRAN checks: SLOS results Documentation: Reference manual: SLOS.pdf Downloads: Package source: SLOS_1.0.1.tar.gz Windows binaries: r-devel: SLOS_1.0.1.zip, r-release: SLOS_1.0.1.zip, r-oldrel: SLOS_1.0.1.zip macOS binaries: r-release (arm64): SLOS_1.0.1.tgz, r-oldrel (arm64): SLOS_1.0.1.tgz, r-release (x86_64): SLOS_1.0.1.tgz, r-oldrel (x86_64): SLOS_1.0.1.tgz Old sources: SLOS archive Linking:Please use the canonical form https://CRAN.R-project.org/package=SLOS to link to this page.
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