-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #75 from oxford-pharmacoepi/concept_cohort_set
concept function
- Loading branch information
Showing
15 changed files
with
567 additions
and
109 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -8,3 +8,4 @@ | |
^_pkgdown\.yml$ | ||
^doc$ | ||
^Meta$ | ||
^data-raw$ |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,185 @@ | ||
#' Generate a cohort based on a concept set. The current supported domains are: | ||
#' | ||
#' @param cdm A cdm_reference object. | ||
#' @param conceptSet A conceptSet, can either be a list of concepts, a codelist | ||
#' or a conceptSetExpression (TO DO). | ||
#' @param name Name of the cohort in the cdm object. | ||
#' | ||
#' @export | ||
#' | ||
#' @return A cohort_table object. | ||
#' | ||
conceptCohort <- function(cdm, | ||
conceptSet, | ||
name) { | ||
# initial input validation | ||
cdm <- validateCdm(cdm) | ||
name <- validateName(name) | ||
if (length(conceptSet) == 0) { | ||
cli::cli_inform(c("i" = "Empty codelist provided, returning empty cohort")) | ||
cdm <- omopgenerics::emptyCohortTable(cdm = cdm, name = name) | ||
return(cdm[[name]]) | ||
} | ||
conceptSet <- validateConceptSet(conceptSet) | ||
|
||
# create concept set tibble | ||
cohortSet <- dplyr::tibble("cohort_name" = names(conceptSet)) |> | ||
dplyr::mutate("cohort_definition_id" = dplyr::row_number()) | ||
cohortCodelist <- lapply(conceptSet, dplyr::as_tibble) |> | ||
dplyr::bind_rows(.id = "cohort_name") |> | ||
dplyr::inner_join(cohortSet, by = "cohort_name") |> | ||
dplyr::select("cohort_definition_id", "concept_id" = "value", "codelist_name" = "cohort_name") |> | ||
dplyr::mutate("type" = "index event") |> | ||
addDomains(cdm) | ||
|
||
ud <- cohortCodelist |> | ||
dplyr::group_by(.data$domain_id) |> | ||
dplyr::tally() |> | ||
dplyr::collect() |> | ||
dplyr::filter(!.data$domain_id %in% domainsData$domain_id) | ||
for (k in seq_len(nrow(ud))) { | ||
cli::cli_inform(c( | ||
"x" = "Domain {.strong {ud$domain_id[k]}} ({ud$n[k]} concept{?s}) excluded because it is not supported." | ||
)) | ||
} | ||
|
||
cohortCodelist <- cohortCodelist |> | ||
dplyr::filter(.data$domain_id %in% !!domainsData$domain_id) |> | ||
dplyr::compute() | ||
|
||
domains <- cohortCodelist |> | ||
dplyr::select("domain_id") |> | ||
dplyr::distinct() |> | ||
dplyr::pull() | ||
|
||
cohorts <- list() | ||
for (k in seq_along(domains)) { | ||
domain <- domains[k] | ||
table <- domainsData$table[domainsData$domain_id == domain] | ||
concept <- domainsData$concept[domainsData$domain_id == domain] | ||
start <- domainsData$start[domainsData$domain_id == domain] | ||
end <- domainsData$end[domainsData$domain_id == domain] | ||
n <- cohortCodelist |> | ||
dplyr::filter(.data$domain_id %in% .env$domain) |> | ||
dplyr::tally() |> | ||
dplyr::pull() | ||
if (table %in% names(cdm)) { | ||
cli::cli_inform(c( | ||
"i" = "Subsetting table {.strong {table}} using {n} concept{?s} with domain: {.strong {domain}}." | ||
)) | ||
cohorts[[k]] <- cdm[[table]] |> | ||
dplyr::select( | ||
"subject_id" = "person_id", | ||
"concept_id" = dplyr::all_of(concept), | ||
"cohort_start_date" = dplyr::all_of(start), | ||
"cohort_end_date" = dplyr::all_of(end) | ||
) |> | ||
dplyr::inner_join( | ||
cohortCodelist |> | ||
dplyr::filter(.data$domain_id %in% .env$domain) |> | ||
dplyr::select("concept_id", "cohort_definition_id"), | ||
by = "concept_id" | ||
) | ||
} else { | ||
cli::cli_inform(c( | ||
"x" = "Domain {.strong {domain}} ({n} concept{?s}) excluded because table {table} is not present in the cdm." | ||
)) | ||
} | ||
} | ||
|
||
if (length(cohorts) == 0) { | ||
cli::cli_inform(c("i" = "No table could be subsetted, returning empty cohort.")) | ||
cdm <- omopgenerics::emptyCohortTable(cdm = cdm, name = name) | ||
cdm[[name]] <- cdm[[name]] |> | ||
omopgenerics::newCohortTable( | ||
cohortSetRef = cohortSet, | ||
cohortAttritionRef = NULL, | ||
cohortCodelistRef = NULL | ||
) | ||
return(cdm[[name]]) | ||
} | ||
|
||
cli::cli_inform(c("i" = "Subsetting tables.")) | ||
cohort <- cohorts[[1]] | ||
if (length(cohorts) > 1) { | ||
for (k in 2:length(cohorts)) { | ||
cohort <- cohort |> dplyr::union_all(cohorts[[k]]) | ||
} | ||
} | ||
cohort <- cohort |> | ||
dplyr::compute(name = name, temporary = FALSE) | ||
|
||
cli::cli_inform(c("i" = "Collapsing records.")) | ||
# assign to cdm so we keep class, to be removed when https://github.com/darwin-eu-dev/omopgenerics/issues/256 | ||
cdm[[name]] <- cohort |> | ||
collapseGap(gap = 0) | ||
cohort <- cdm[[name]] |> | ||
dplyr::compute(name = name, temporary = FALSE) | ||
|
||
cli::cli_inform(c("i" = "Creating cohort attributes.")) | ||
cdm[[name]] <- cohort |> | ||
omopgenerics::newCohortTable( | ||
cohortSetRef = cohortSet, | ||
cohortAttritionRef = NULL, | ||
cohortCodelistRef = cohortCodelist |> | ||
dplyr::select(-"domain_id") |> | ||
dplyr::collect() | ||
) | ||
|
||
cli::cli_inform(c("v" = "Cohort {.strong {name}} created.")) | ||
|
||
return(cdm[[name]]) | ||
} | ||
|
||
addDomains <- function(cohortCodelist, cdm) { | ||
# insert table as temporary | ||
tmpName <- omopgenerics::uniqueTableName() | ||
cdm <- omopgenerics::insertTable( | ||
cdm = cdm, name = tmpName, table = cohortCodelist | ||
) | ||
cdm[[tmpName]] <- cdm[[tmpName]] |> dplyr::compute() | ||
|
||
cohortCodelist <- cdm[["concept"]] |> | ||
dplyr::select("concept_id", "domain_id") |> | ||
dplyr::right_join(cdm[[tmpName]], by = "concept_id") |> | ||
dplyr::mutate("domain_id" = tolower(.data$domain_id)) |> | ||
dplyr::compute() | ||
|
||
omopgenerics::dropTable(cdm = cdm, name = tmpName) | ||
|
||
return(cohortCodelist) | ||
} | ||
collapseGap <- function(cohort, gap) { | ||
start <- cohort |> | ||
dplyr::select( | ||
"cohort_definition_id", "subject_id", "date" = "cohort_start_date" | ||
) |> | ||
dplyr::mutate("date_id" = -1) | ||
end <- cohort |> | ||
dplyr::select( | ||
"cohort_definition_id", "subject_id", "date" = "cohort_end_date" | ||
) |> | ||
dplyr::mutate("date_id" = 1) | ||
start |> | ||
dplyr::union_all(end) |> | ||
dplyr::group_by(.data$cohort_definition_id, .data$subject_id) |> | ||
dplyr::arrange(.data$date, .data$date_id) |> | ||
dplyr::mutate("cum_id" = cumsum(.data$date_id)) |> | ||
dplyr::filter( | ||
.data$cum_id == 0 | (.data$cum_id == -1 & .data$date_id == -1) | ||
) |> | ||
dplyr::mutate( | ||
"name" = dplyr::if_else( | ||
.data$date_id == -1, "cohort_start_date", "cohort_end_date" | ||
), | ||
"era_id" = dplyr::if_else(.data$date_id == -1, 1, 0) | ||
) |> | ||
dplyr::mutate("era_id" = cumsum(as.numeric(.data$era_id))) |> | ||
dplyr::ungroup() |> | ||
dplyr::arrange() |> | ||
dplyr::select( | ||
"cohort_definition_id", "subject_id", "era_id", "name", "date" | ||
) |> | ||
tidyr::pivot_wider(names_from = "name", values_from = "date") |> | ||
dplyr::select(-"era_id") | ||
} |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Binary file not shown.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,14 @@ | ||
## code to prepare `DATASET` dataset goes here | ||
|
||
domainsData <- dplyr::tribble( | ||
~"domain_id", ~"table", ~"concept", ~"start", ~"end", | ||
"drug", "drug_exposure", "drug_concept_id", "drug_exposure_start_date", "drug_exposure_end_date", | ||
"condition", "condition_occurrence", "condition_concept_id", "condition_start_date", "condition_end_date", | ||
"procedure", "procedure_occurrence", "procedure_concept_id", "procedure_date", "procedure_date", | ||
"observation", "observation", "observation_concept_id", "observation_date", "observation_date", | ||
"measurement", "measurement", "measurement_concept_id", "measurement_date", "measurement_date", | ||
"visit", "visit_occurrence", "visit_concept_id", "visit_start_date", "visit_end_date", | ||
"device", "device_exposure", "device_concept_id", "device_exposure_start_date", "device_exposure_end_date" | ||
) | ||
|
||
usethis::use_data(domainsData, internal = TRUE, overwrite = TRUE) |
Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.
Oops, something went wrong.
Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.
Oops, something went wrong.
Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.
Oops, something went wrong.
Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.
Oops, something went wrong.
Oops, something went wrong.