# Copyright 2020 Observational Health Data Sciences and Informatics
#
# This file is part of CancerTxPathway
#
# 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.
#' DrugRecordExamination
#' check each index dates of single subject whether drug conditions are satisfied or not.
#' @param targetSubjectId
#' @param primaryConceptRecords
#' @param secondaryConceptRecords
#' @param excludingConceptRecords
#' @param drugInspectionDate
#' @param secondaryConceptIdList
#' @param excludingConceptIdList
#' @keywords primaryDrug, secondaryDrug,eliminatoryDrug
#' @return drug condition passed dates list
#' @export
#' @import dplyr
#' @examples
#' drugRecordExamination(subjectId = 11111111)
drugRecordExamination<-function(targetSubjectId,
primaryConceptRecords,
secondaryConceptRecords,
excludingConceptRecords,
drugInspectionDate,
secondaryConceptIdList,
excludingConceptIdList
){
## Dispense date of primary drug is index date
## Generate index date list in one person
if (!nrow(primaryConceptRecords)==0){
indexDateList <- primaryConceptRecords %>% filter(subjectId == targetSubjectId)
## Checking all drug condition
### The drug observation period is from the index date to the date as long as drug Observation Date.
### Secondary drug should be in the range of drug observation period and eliminatory drug should not be in.
if(length(secondaryConceptIdList)!=0){
secondaryConceptRecordsOneSubject <-lapply(1:length(secondaryConceptIdList),function(i){secondaryConceptRecords[[i]] %>% filter (subjectId == targetSubjectId)})
}
if(length(excludingConceptIdList)!=0){
excludingConceptRecordsOneSubject <-excludingConceptRecords %>% filter(subjectId == targetSubjectId)}
drugConditionPassedDate <-c()
drugConditionPassedStartDate <- c()
drugConditionPassedEndDate <- c()
eventItem <- c()
###
for(x in 1:nrow(indexDateList)){
inResult <- list()
endDateList <- list()
##secondary concept
if(length(secondaryConceptIdList)!=0){
for(i in 1:length(secondaryConceptIdList)){
secondaryConceptInPeriod <- dplyr::filter(secondaryConceptRecordsOneSubject[[i]],between(drugExposureStartDate,indexDateList[x,3]-drugInspectionDate,indexDateList[x,3]+drugInspectionDate))
inResult<-append(inResult,list(secondaryConceptInPeriod[1,3]))
if (length(secondaryConceptInPeriod$drugExposureEndDate)!=0){
endDateList<-append(endDateList,list(unique(max(secondaryConceptInPeriod$drugExposureEndDate,na.rm =TRUE))))}
}
}else{secondaryConceptInPeriod <- NULL}
##excluding concept
if(length(excludingConceptIdList)!=0){
excludingConceptInPeriod <- dplyr::filter(excludingConceptRecordsOneSubject,between(drugExposureStartDate,indexDateList[x,3]-drugInspectionDate,indexDateList[x,3]+drugInspectionDate))
outResult <- excludingConceptInPeriod[1,3]
}else{
outResult<-NA}
##
if(sum(is.na(inResult))==0 & sum(!is.na(outResult))==0){
if(!is.null(secondaryConceptInPeriod)){
drugConditionPassedStartDate[x]<- min(c(indexDateList[x,3],secondaryConceptInPeriod$drugExposureStartDate),na.rm =TRUE)
targetCycleItemSec <- paste0(secondaryConceptInPeriod$drugExposureId,collapse = '_')
targetCycleItemPri <- paste0(indexDateList[x,5],collapse = '_')
targetCycleItem<- paste0(c(targetCycleItemSec,targetCycleItemPri),collapse = '_')
}else
{drugConditionPassedStartDate[x]<- indexDateList[x,3]
targetCycleItem<- paste0(indexDateList[x,5],collapse = '_')}
eventItem[x] <- targetCycleItem
if(!is.null(drugConditionPassedStartDate)){
drugConditionPassedEndDate[x]<- max(c(indexDateList[x,3],unlist(endDateList)),na.rm =TRUE)
}
}
}
###
if(!is.null(drugConditionPassedStartDate)){
drugConditionPassedDate <- data.frame(drugConditionPassedStartDate,drugConditionPassedEndDate,eventItem)
drugConditionPassedDate <- na.omit(drugConditionPassedDate)
drugConditionPassedDate <- drugConditionPassedDate[c(order(drugConditionPassedDate$drugConditionPassedStartDate)),]
drugConditionPassedDate <- unique(drugConditionPassedDate)
rownames(drugConditionPassedDate) <- NULL
}else{drugConditionPassedDate <- data.frame()}
}else{drugConditionPassedDate<-data.frame()}
return(drugConditionPassedDate)
}
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