# Set up an environemnt to cache ICD data
.icd_data_env <- new.env(parent = emptyenv())
# This is an environment with active bindings to get ICD-9-CM leaves and descriptions. Previously, icd9cm_billable was a named list
# TODO: ? icd9cm_billable <- new.env(parent = emptyenv())
.data_names <- c(
# WHO
"icd10who2016",
"icd10who2008fr",
# FR
"icd10fr2019",
# BE
"icd10be2014",
"icd10be2014_pc",
"icd10be2017",
"icd10be2017_pc",
# ICD-9-CM leaf descriptions
paste0("icd9cm", 2005:2014, "_leaf"),
# RTF parsing with majors "three-digit" codes and other non-leaf nodes
paste0("icd9cm", 2005:2014),
# ICD-10-CM PCS
paste0("icd10cm", 2014:2019, "_pc"),
# ICD-10-CM DX
"icd10cm2014",
"icd10cm2015",
# icd10cm2016 included (but will migrate to 2019 once all is on CRAN)
"icd10cm2017",
"icd10cm2018"
# icd10cm2019 included already, being the latest version
)
#' The latest available version of ICD-10-CM in this package
#' @details This is an active binding, so is exported explicitly
#' @docType data
#' @keywords datasets
#' @export
get_icd10cm_latest <- function() {
get_icd10cm2019()
}
#' Localised synonym for \code{\link{get_icd10fr2019}}, with French column names
#' @seealso \code{\link{get_icd10fr2019}}
#' @export
get_cim10fr2019 <- function() {
if (exists("cim10fr2019", envir = .icd_data_env)) {
return(get("cim10fr2019", envir = .icd_data_env))
}
cim10fr2019 <- get_icd10fr2019()
names(cim10fr2019) <- c(
"code",
"desc_courte",
"desc_longue",
"majeure",
"trois_chiffres"
)
rownames(cim10fr2019) <- NULL
assign("cim10fr2019",
value = cim10fr2019,
envir = .icd_data_env
)
cim10fr2019
}
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