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# Copyright 2025 DARWIN EU®
#
# This file is part of CodelistGenerator
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#' Get the available concept classes used in a given set of domains
#'
#' @inheritParams cdmDoc
#' @inheritParams standardConceptDoc
#' @inheritParams domainDoc
#'
#' @return The concept classes
#' @export
#'
#' @examples
#' \donttest{
#' library(CodelistGenerator)
#' library(omock)
#'
#' # Create CDM object
#' cdm <- mockCdmFromDataset(datasetName = "GiBleed")
#'
#' # Get all available concept_class_ids in the CDM
#' availableConceptClassIds(cdm,
#' standardConcept = "Standard")
#'
#' # Get all available concept_class_ids in the CDM for a specific domain
#' availableConceptClassIds(cdm,
#' standardConcept = "Standard",
#' domain = "Condition")
#'
#' # Notice that this corresponds to the information provided by `concept_class_id`
#' # column in the `concept` table
#' }
availableConceptClassIds <- function(cdm,
standardConcept = "Standard",
domain = NULL) {
#initial checks
cdm <- omopgenerics::validateCdmArgument(cdm = cdm)
domain <- assertDomain(domain, cdm)
standardConcept <- assertStandardConcept(standardConcept)
conceptClassIds <- conceptClassIdsInternal(cdm,
newOmopTable = "concept",
domain = domain,
standardConcept = standardConcept,
xx = NULL)
return(conceptClassIds)
}
#' Get the concept classes associated with a codelist
#'
#' @inheritParams xDoc
#' @inheritParams cdmDoc
#' @inheritParams standardConceptDoc
#' @inheritParams domainDoc
#'
#' @return The concept classes
#' @export
#'
#' @examples
#' \donttest{
#' library(CodelistGenerator)
#' library(omock)
#'
#' # Create CDM object
#' cdm <- mockCdmFromDataset(datasetName = "GiBleed")
#'
#' # Get concept_class_ids in a codelist
#' x <- newCodelist(list("codes1" = c(1118088L, 40213201L, 35208414L),
#' "codes2" = c(1557272L, 4336464L, 4295880L)))
#' associatedConceptClassIds(x, cdm,
#' standardConcept = "Standard")
#'
#' # Notice that this corresponds to the information provided by `concept_class_id`
#' # column in the `concept` table
#' }
associatedConceptClassIds <- function(x,
cdm,
standardConcept = "Standard",
domain = NULL) {
#initial checks
cdm <- omopgenerics::validateCdmArgument(cdm = cdm)
domain <- assertDomain(domain, cdm)
standardConcept <- assertStandardConcept(standardConcept)
checkCodelist(x, allowConceptSetExpression = FALSE)
if(inherits(x, "codelist_with_details")){
x <- asCodelist(x)
}
if(inherits(x, "codelist")){
newOmopTable <- paste0(omopgenerics::uniqueTableName(),
omopgenerics::uniqueId())
codesTable <- paste0(omopgenerics::uniqueTableName(),
omopgenerics::uniqueId())
cdm <- subsetOmopTable(cdm, newOmopTable, "concept", x)
conceptClassIds <- list()
for( i in seq_along(x) ){
conceptClassIds[[names(x)[[i]]]] <- conceptClassIdsInternal(cdm,
newOmopTable = newOmopTable,
codesTable = codesTable,
domain = domain,
standardConcept = standardConcept,
xx = x[[i]])
}
omopgenerics::dropSourceTable(cdm, name = c(newOmopTable, codesTable))
}
return(conceptClassIds)
}
conceptClassIdsInternal <- function(cdm, newOmopTable, codesTable, domain, standardConcept, xx){
conceptDb <- cdm[[newOmopTable]]
if(!is.null(xx)){
cdm <- omopgenerics::insertTable(
cdm, name = codesTable, dplyr::tibble(concept_id = xx))
conceptDb <- conceptDb |>
dplyr::inner_join(cdm[[codesTable]], by = "concept_id")
}
conceptDb <- conceptDb |>
dplyr::filter(tolower(.data$domain_id) %in% .env$domain) |>
dplyr::mutate(standard_concept = dplyr::case_when(
is.na(.data$standard_concept) ~ "non-standard",
.data$standard_concept == "C" ~ "classification",
.data$standard_concept == "S" ~ "standard"
)) |>
dplyr::filter(.data$standard_concept %in% .env$standardConcept)
conceptClassId <- conceptDb |>
dplyr::select("concept_class_id") |>
dplyr::distinct() |>
dplyr::collect() |>
dplyr::pull()
conceptClassId <- sort(conceptClassId)
return(conceptClassId)
}
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