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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "SLOS" in publications use:'
type: software
license: MIT
title: 'SLOS: ICU Length of Stay Prediction and Efficiency Evaluation'
version: 1.0.1
doi: 10.32614/CRAN.package.SLOS
abstract: '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>.'
authors:
- family-names: Peres
  given-names: Igor
  email: igor.peres@puc-rio.br
- family-names: Matta
  given-names: Joana
  name-particle: da
  email: joana.damatta02@gmail.com
repository: https://jodamatta.r-universe.dev
commit: 65eeb79ccc78883750808a9a9b52a855b1d2281a
date-released: '2025-02-06'
contact:
- family-names: Matta
  given-names: Joana
  name-particle: da
  email: joana.damatta02@gmail.com