kesernetwork: Visualization of the KESER Network

A shiny app to visualize the knowledge networks for the code concepts. Using co-occurrence matrices of EHR codes from Veterans Affairs (VA) and Massachusetts General Brigham (MGB), the knowledge extraction via sparse embedding regression (KESER) algorithm was used to construct knowledge networks for the code concepts. Background and details about the method can be found at Chuan et al. (2021) <doi:10.1038/s41746-021-00519-z>.

Version: 0.1.0
Depends: R (≥ 3.5.0), shinyBS, shiny, htmltools
Imports: config (≥ 0.3.1), data.table, dplyr, DT, ggplot2, golem (≥ 0.3.1), plotly, reactable, rintrojs, rlang, shinycssloaders, shinydashboard, shinydashboardPlus, shinyhelper, shinyWidgets, stringr, visNetwork, yaml
Suggests: rmarkdown, knitr, shinytest, testthat (≥ 3.0.0)
Published: 2022-03-03
Author: Su-Chun Cheng [cre, aut], PARSE LTD [aut], VA CIPHER [aut], Verity Research [aut], CELEHS [aut]
Maintainer: Su-Chun Cheng <scheng at parse-health.org>
BugReports: https://github.com/celehs/kesernetwork/issues
License: GPL (≥ 3)
URL: https://github.com/celehs/kesernetwork
NeedsCompilation: no
Materials: README NEWS
CRAN checks: kesernetwork results

Documentation:

Reference manual: kesernetwork.pdf
Vignettes: Network

Downloads:

Package source: kesernetwork_0.1.0.tar.gz
Windows binaries: r-devel: kesernetwork_0.1.0.zip, r-release: kesernetwork_0.1.0.zip, r-oldrel: kesernetwork_0.1.0.zip
macOS binaries: r-release (arm64): kesernetwork_0.1.0.tgz, r-release (x86_64): kesernetwork_0.1.0.tgz, r-oldrel: kesernetwork_0.1.0.tgz

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