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: |
0.0.8 |
| Depends: |
R (≥ 2.10) |
| 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, roxygen2, healthyR.data, scales, tidyselect, janitor, timetk, plotly, rsample, kknn, hardhat |
| Published: |
2022-07-04 |
| 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://github.com/spsanderson/healthyR.ai |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
healthyR.ai results |