Hospital machine learning and ai data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative hospital data. Some of these include predicting length of stay, and readmits. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Version: 0.1.1 Depends: R (≥ 3.3) Imports: magrittr, rlang (≥ 0.1.2), yardstick (≥ 0.0.8), utils, broom, ggrepel, tibble, dplyr, ggplot2, tidyr, forcats, recipes (≥ 1.0.0), purrr, h2o, stats, dials, parsnip, tune, workflows, modeltime Suggests: rmarkdown, knitr, healthyR.data, scales, tidyselect, janitor, timetk, plotly, rsample, kknn, hardhat, uwot, stringr Published: 2025-04-24 DOI: 10.32614/CRAN.package.healthyR.ai Author: Steven Sanderson [aut, cre, cph] Maintainer: Steven Sanderson <spsanderson at gmail.com> BugReports: https://github.com/spsanderson/healthyR.ai/issues License: MIT + file LICENSE URL: https://www.spsanderson.com/healthyR.ai/, https://github.com/spsanderson/healthyR.ai NeedsCompilation: no Materials: README, NEWS CRAN checks: healthyR.ai resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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