#' This file contains experimental code with list-defined instructions
#' for building a patient level datatable from raw CSV.
#'
#' The idea is that we reduce the import to a set of scriptable
#' actions that the import function can select from and are more
#' maintainable / generic.
#'
#' It is expected we'll start down this road with a hybrid of hard
#' coding and scriptable components.
#' The following line can be used to produce a data frame from the
#' lists; but lists (ie. a vector of objects of class transforms) are
#' probably the best way to create the data initially.
#'
#' test_frame <- do.call(rbind.data.frame, test_transforms)
#' @export
ssnap_record_transforms <- c(
record_transform_tidy_csv_boolean(c(
"S1ArriveByAmbulance",
"S2ThrombolysisComplications",
"S2NeurovascularClinicAssessed",
"S3EndOfLifePathway",
"S4Physio",
"S4OccTher",
"S4SpeechLang",
"S4Psychology",
"S6PalliativeCareByDischarge",
"S6EndOfLifePathwayByDischarge",
"S7StrokeUnitDeath",
"S2TIAInLastMonth",
"S5UrinaryTractInfection7Days",
"S5PneumoniaAntibiotics7Days",
"S6MalnutritionScreening",
"S6IntPneumaticComp",
"S7AdlHelp",
"S7DischargeAtrialFibrillationAnticoagulation",
"S7DischargeJointCarePlanning",
"S7DischargePIConsent",
"S8FollowUpPIConsent",
"S8MoodBehaviourCognitiveScreened",
"S8MoodBehaviourCognitivePsychologicalSupport",
"S8PersistentAtrialFibrillation",
"S8TakingAntiplateletDrug",
"S8TakingAnticoagulent",
"S8TakingLipidLowering",
"S8TakingAntihypertensive",
"S8SinceStrokeAnotherStroke",
"S8SinceStrokeMyocardialInfarction",
"S8SinceStrokeOtherHospitalisationIllness",
"S2IAI",
"S2IAIClinicalTrial",
"S2IAICtaMra",
"S2IAIAspects",
"S2IAIPerfusionImaging",
"S2IAIThromboAspiration",
"S2IAIStentRetriever",
"S2IAIProximalBallonFlowArrestGuideCather",
"S2IAIDistalAccessCatheter",
"S2IAIComplicationSymptomaticIntraCranialHaemorrhage",
"S2IAIComplicationExtraCranialHaemorrhage",
"S2IAIComplicationOther")
),
record_transform_tidy_csv_factor_to_logical(
input_column = "S1OnsetDateType",
output_column = "S1OnsetDateIsPrecise",
true_value = "P",
false_value = "BE"),
record_transform_tidy_csv_factor_to_logical(
input_column = "S1OnsetTimeType",
output_column = "S1OnsetTimeIsPrecise",
true_value = "P",
false_value = "BE"),
record_transform_tidy_csv_factor_to_logical(
input_column = "S2BrainImagingModality",
output_column = "S2BrainImagingModalityIsCT",
true_value = "CT",
false_value = "MRI"),
record_transform_tidy_csv_factor_to_logical(
input_column = "S7CareHomeDischarge",
output_column = "S7CareHomeDischargeToNewResidence",
true_value = "NPR",
false_value = "PR"),
record_transform_tidy_csv_factor_to_logical(
input_column = "S7CareHomeDischargeType",
output_column = "S7CareHomeDischargePermanentResidence",
true_value = "P",
false_value = "T"),
record_transform_tidy_csv_factor_to_logical(
input_column = "S7DischargedEsdmt",
output_column = "S7DischargedSpecialistEsdmt",
true_value = "SNS",
false_value = "NS"),
record_transform_tidy_csv_factor_to_logical(
input_column = "S7DischargedMcrt",
output_column = "S7DischargedSpecialistMcrt",
true_value = "SNS",
false_value = "NS")
)
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