Package: kesernetwork 0.1.0

Su-Chun Cheng

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>.

Authors:Su-Chun Cheng [cre, aut], PARSE LTD [aut], VA CIPHER [aut], Verity Research [aut], CELEHS [aut]

kesernetwork_0.1.0.tar.gz
kesernetwork_0.1.0.zip(r-4.7)kesernetwork_0.1.0.zip(r-4.6)kesernetwork_0.1.0.zip(r-4.5)
kesernetwork_0.1.0.tgz(r-4.6-any)kesernetwork_0.1.0.tgz(r-4.5-any)
kesernetwork_0.1.0.tar.gz(r-4.7-any)kesernetwork_0.1.0.tar.gz(r-4.6-any)
kesernetwork_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
kesernetwork/json (API)

# Install 'kesernetwork' in R:

install.packages('kesernetwork', repos = c('https://celehs.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/celehs/kesernetwork/issues

On CRAN:

4.30 score 2 stars 8 scripts 178 downloads 1 exports 92 dependencies

Last updated from:b248e263c2. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	258
source / vignettes	OK	211
linux-release-x86_64	NOTE	208
macos-release-arm64	NOTE	136
macos-oldrel-arm64	NOTE	142
windows-devel	NOTE	114
windows-release	NOTE	112
windows-oldrel	NOTE	100
wasm-release	OK	135