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), Matrix, plotly, reactable, rintrojs, rlang,
        shinycssloaders, shinydashboard, shinydashboardPlus,
        shinyhelper, shinyWidgets, stringr, visNetwork, yaml
Encoding: UTF-8
RoxygenNote: 7.2.3
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
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
        zlib1g-dev
Repository: https://celehs.r-universe.dev
Date/Publication: 2023-05-04 20:34:11 UTC
RemoteUrl: https://github.com/celehs/kesernetwork
RemoteRef: HEAD
RemoteSha: b248e263c211cbdd0f7d90fbba874c19a1d07173
NeedsCompilation: no
Packaged: 2026-06-12 08:30:03 UTC; root
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>