# Copyright 2022 Observational Health Data Sciences and Informatics
#
# This file is part of ConceptSetDiagnostics
#
# 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.
#
#' Given a concept set expression, instantiate a cohort.
#'
#' @description
#' Given a concept set expression, instantiate a cohort. The cohort is generated
#' by checking for the occurrence of any of the resolved conceptId's in the conceptSetExpression
#' in any domain tables. The domain tables are condition_occurrence, drug_exposure, procedure_occurrence,
#' visit_occurrence, observation.
#'
#' @template Connection
#'
#' @template VocabularyDatabaseSchema
#'
#' @template CdmDatabaseSchema
#'
#' @template TempEmulationSchema
#'
#' @param cohortId An integer value to identify the cohort.
#'
#' @param cohortTable the name of the cohort table
#'
#' @param restrictToObservationPeriod (Default = TRUE) Do you want to restrict to Observation period? i.e
#' Cohort dates are restricted to observation period.
#'
#' @param conceptSetExpression An R object (list) representation of a concept set expression
#'
#' @return
#' NULL
#'
#' @export
instantiateCohortFromConceptSetExpression <-
function(connectionDetails = NULL,
connection = NULL,
cdmDatabaseSchema,
vocabularyDatabaseSchema = cdmDatabaseSchema,
cohortDatabaseSchema = cohortDatabaseSchema,
cohortId,
cohortTable = "cohort",
restrictToObservationPeriod = TRUE,
tempEmulationSchema = getOption("sqlRenderTempEmulationSchema"),
conceptSetExpression) {
if (is.null(connection)) {
connection <- DatabaseConnector::connect(connectionDetails)
on.exit(DatabaseConnector::disconnect(connection))
}
conceptIds <-
ConceptSetDiagnostics::resolveConceptSetExpression(
conceptSetExpression = conceptSetExpression,
connection = connection,
vocabularyDatabaseSchema = vocabularyDatabaseSchema
) %>%
dplyr::select(conceptId) %>%
dplyr::distinct() %>%
dplyr::arrange(conceptId) %>%
dplyr::pull(conceptId)
tempTableWithConceptDates <-
getConceptSetOccurrenceDate(
connection = connection,
cdmDatabaseSchema = cdmDatabaseSchema,
vocabularyDatabaseSchema = vocabularyDatabaseSchema,
subset = "all",
tempEmulationSchema = tempEmulationSchema,
conceptIds = conceptIds
)
tempCohortTableName <-
paste0("#t", (as.numeric(as.POSIXlt(Sys.time(
)))) * 100000)
sql <- SqlRender::loadRenderTranslateSql(
"ConvertConceptIdDatesTableToCohort.sql",
packageName = utils::packageName(),
dbms = connection@dbms,
tempEmulationSchema = tempEmulationSchema,
concept_id_table = tempTableWithConceptDates,
temp_cohort_table_name = tempCohortTableName,
cohort_id = 0,
restrict_to_observation_period = restrictToObservationPeriod
)
DatabaseConnector::executeSql(
connection = connection,
sql = sql,
profile = FALSE,
progressBar = TRUE,
reportOverallTime = FALSE
)
CohortAlgebra:::eraFyCohorts(
connection = connection,
sourceCohortDatabaseSchema = NULL,
targetCohortDatabaseSchema = cohortDatabaseSchema,
sourceCohortTable = tempCohortTableName,
targetCohortTable = cohortTable,
oldCohortIds = 0,
newCohortId = cohortId,
eraconstructorpad = 1,
cdmDatabaseSchema = cdmDatabaseSchema,
purgeConflicts = FALSE
)
}
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