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Showing content from https://github.com/CUD2V/pccc below:

CUD2V/pccc: Pediatric Complex Chronic Conditions: An R Package

Pediatric Complex Chronic Conditions: A R Package

Pediatric complex chronic conditions classification system version 2:.

    Feudtner, C., Feinstein, J.A., Zhong, W. et al. Pediatric complex
    chronic conditions classification system version 2: updated for ICD-10
    and complex medical technology dependence and transplantation. BMC
    Pediatr 14, 199 (2014). https://doi.org/10.1186/1471-2431-14-199

["Pediatric complex chronic conditions classification system version 2: updated for ICD-10 and complex medical technology dependence and transplantation" by Chris Feudtner, James A Feinstein, Wenjun Zhong, Matt Hall and Dingwei Dai]

SAS and STATA scripts to generate CCC categories from ICD codes were provided by Feudtner et al. as an appendix to the above manuscript. However, those scripts can take many hours to run on large datasets.

This package provides R functions to generate the CCC categories. Because the R functions are built with a C++ back-end, they are very computationally efficient.

The pccc package version 1.0.z implemented this version of the PCCC criteria.

Pediatric Complex Chronic Condition System Version 3

    Feinstein JA, Hall M, Davidson A, Feudtner C. Pediatric Complex Chronic
    Condition System Version 3. JAMA Netw Open. 2024;7(7):e2420579.
    doi:10.1001/jamanetworkopen.2024.20579

The criteria has been updated and there is a major conceptual change in the way technology dependencies are accounted for.

Version 3 of the pccc R package (skipping version 2 so the package version will match the system version) will implement version 3 of the PCCC.

Released version available on The Comprehensive R Archive Network at https://CRAN.R-project.org/package=pccc.

You can install the developmental version of pccc directly from github using the remotes package:

if (!("remotes" %in% rownames(installed.packages()))) {
  warning("installing remotes from https://cran.rstudio.com")
  install.packages("remotes", repo = "https://cran.rstudio.com")
}
remotes::install_github("CUD2V/pccc", build_vignettes = TRUE)

NOTE: If you are working on a Windows machine you will likely need Rtools.

If you are on a Linux machine or have GNU make configured you should be able to build and install this package by cloning the repository and running

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