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AutoScore: An Interpretable Machine Learning-Based Automatic Clinical Score Generator

A novel interpretable machine learning-based framework to automate the development of a clinical scoring model for predefined outcomes. Our novel framework consists of six modules: variable ranking with machine learning, variable transformation, score derivation, model selection, domain knowledge-based score fine-tuning, and performance evaluation.The details are described in our research paper<doi:10.2196/21798>. Users or clinicians could seamlessly generate parsimonious sparse-score risk models (i.e., risk scores), which can be easily implemented and validated in clinical practice. We hope to see its application in various medical case studies.

Version: 1.1.0
Depends: R (≥ 3.5.0)
Imports: tableone, pROC, randomForest, ggplot2, knitr, Hmisc, car, dplyr, ordinal, survival, tidyr, plotly, magrittr, randomForestSRC, rlang, survAUC, survminer
Suggests: rpart, rmarkdown
Published: 2025-08-01
DOI: 10.32614/CRAN.package.AutoScore
Author: Feng Xie ORCID iD [aut, cre], Yilin Ning ORCID iD [aut], Han Yuan ORCID iD [aut], Mingxuan Liu ORCID iD [aut], Siqi Li ORCID iD [aut], Ehsan Saffari ORCID iD [aut], Bibhas Chakraborty ORCID iD [aut], Nan Liu ORCID iD [aut]
Maintainer: Feng Xie <xief at u.duke.nus.edu>
BugReports: https://github.com/nliulab/AutoScore/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/nliulab/AutoScore
NeedsCompilation: no
Citation: AutoScore citation info
Materials: README, NEWS
CRAN checks: AutoScore results

Documentation:

Reference manual: AutoScore.html , AutoScore.pdf
Vignettes: Brief Introduction (source, R code)

Downloads:

Package source: AutoScore_1.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): AutoScore_1.1.0.tgz, r-oldrel (arm64): AutoScore_1.1.0.tgz, r-release (x86_64): AutoScore_1.1.0.tgz, r-oldrel (x86_64): AutoScore_1.1.0.tgz
Old sources: AutoScore archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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