Package: kesernetwork
Title: Visualization of the KESER Network
Version: 0.1.0
Authors@R: c(
    person("Su-Chun", "Cheng", email = "scheng@parse-health.org", role = c('cre', 'aut')),
    person("PARSE LTD", email = "software@parse-health.org", role = c('aut')),
    person('VA CIPHER', role = c('aut')),
    person('Verity Research', role = c('aut')),
    person('CELEHS', role = c('aut')))
Description: 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>.
License: GPL (>= 3)
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
Encoding: UTF-8
RoxygenNote: 7.1.1
URL: https://github.com/celehs/kesernetwork
BugReports: https://github.com/celehs/kesernetwork/issues
Depends: R (>= 3.5.0), shinyBS, shiny, htmltools
Suggests: rmarkdown, knitr, shinytest, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2022-03-02 07:40:21 UTC; hui
Author: Su-Chun Cheng [cre, aut],
  PARSE LTD [aut],
  VA CIPHER [aut],
  Verity Research [aut],
  CELEHS [aut]
Maintainer: Su-Chun Cheng <scheng@parse-health.org>
Repository: CRAN
Date/Publication: 2022-03-03 09:20:02 UTC
Built: R 4.6.0; ; 2026-04-25 23:33:29 UTC; unix
