healthcareai: Tools for Healthcare Machine Learning

Aims to make machine learning in healthcare as easy as possible. You can develop customized, reliable, high-performance machine learning models with minimal code. Models are created with automatic preprocessing, hyperparameter tuning, and algorithm selection (between 'xgboost' Chen, T. & Guestrin, C. (2016) <arXiv:1603.02754>, 'ranger' Wright, M. N., & Ziegler, A. (2017) <doi:10.18637/jss.v077.i01>, and 'glm' Friedman J, Hastie T, Tibshirani R. (2010) <doi:10.18637/jss.v033.i01>) so that they can be easily put into production. Additionally, there are tools to help understand how a model makes its predictions, select prediction threshholds for operational use, and evaluate model performance over time. Code uses 'tidyverse' syntax and most methods have an associated visualization.

Version: 2.5.1
Depends: R (≥ 3.6), methods
Imports: caret (≥ 6.0.81), cowplot, data.table, dplyr (≥ 1.0.0), e1071, generics, ggplot2, glmnet, lubridate, MLmetrics, purrr, ranger (≥ 0.8.0), recipes (≥ 0.1.3.9002), rlang, ROCR, stringr, tibble (≥ 3.0.0), tidyr, xgboost
Suggests: covr, DBI, dbplyr, lintr, odbc, testthat
Published: 2022-09-05
Author: Levi Thatcher [aut], Michael Levy [aut], Mike Mastanduno [aut, cre], Taylor Larsen [aut], Taylor Miller [aut], Rex Sumsion [aut]
Maintainer: Mike Mastanduno <michael.mastanduno at healthcatalyst.com>
BugReports: https://github.com/HealthCatalyst/healthcareai-r/issues
License: MIT + file LICENSE
URL: https://docs.healthcare.ai/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: healthcareai results

Documentation:

Reference manual: healthcareai.pdf

Downloads:

Package source: healthcareai_2.5.1.tar.gz
Windows binaries: r-devel: healthcareai_2.5.1.zip, r-release: healthcareai_2.5.1.zip, r-oldrel: healthcareai_2.5.1.zip
macOS binaries: r-release (arm64): healthcareai_2.5.1.tgz, r-oldrel (arm64): healthcareai_2.5.1.tgz, r-release (x86_64): healthcareai_2.5.1.tgz, r-oldrel (x86_64): healthcareai_2.5.1.tgz
Old sources: healthcareai archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=healthcareai to link to this page.