Package: SLOS 1.0.1
SLOS: ICU Length of Stay Prediction and Efficiency Evaluation
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:
SLOS_1.0.1.tar.gz
SLOS_1.0.1.zip(r-4.7-any)SLOS_1.0.1.zip(r-4.6-any)SLOS_1.0.1.zip(r-4.5-any)
SLOS_1.0.1.tgz(r-4.6-any)SLOS_1.0.1.tgz(r-4.5-any)
SLOS_1.0.1.tar.gz(r-4.7-any)SLOS_1.0.1.tar.gz(r-4.6-any)
SLOS_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SLOS/json (API)
| # Install 'SLOS' in R: |
| install.packages('SLOS', repos = c('https://jodamatta.r-universe.dev', 'https://cloud.r-project.org')) |
- sampled_data - Sampled Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:65eeb79ccc. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 248 | ||
| source / vignettes | OK | 226 | ||
| linux-release | OK | 202 | ||
| macos-release | OK | 278 | ||
| macos-oldrel | OK | 320 | ||
| windows-devel | OK | 135 | ||
| windows-release | OK | 157 | ||
| windows-oldrel | OK | 189 | ||
| wasm-release | OK | 130 |
Exports:load_SLOSModelpredict_and_evaluateSLOS
Dependencies:askpassbackportsbase64encbitopsbootbslibcachemcaretcaretEnsemblecaToolscheckmateclasscliclockclustercodetoolscolorspacecpp11curldata.tablediagramdigestdplyre1071emsevaluatefarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applygenericsggplot2globalsgluegowergplotsgridExtragtablegtoolshardhathighrHmischtmlTablehtmltoolshtmlwidgetshttripredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixMatrixModelsmemoisemimeMLmetricsModelMetricsmultcompmvtnormnlmennetnumDerivopensslparallellypatchworkpbapplypillarpkgconfigplyrpolsplinepROCprodlimprogressrproxypurrrquantregR6rangerrappdirsRColorBrewerRcppRcppEigenrecipesreshape2rlangrmarkdownrmsROCRrpartrstudioapiS7sandwichsassscalesshapeSparseMsparsevctrsSQUAREMstringistringrsurvivalsysTH.datatibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitewithrxfunyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Load the SLOS model | load_SLOSModel |
| Predict using the SLOS model | predict_and_evaluate |
| Sampled Data | sampled_data |
| SLOS function | SLOS |
