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# ── Syrona: Extraction Constants ──────────────────────────────────────────────
#
# Domain-specific concept IDs, relationship types, and thresholds
# used by the extraction pipeline.
# ── Shared constants ────────────────────────────────────────────────────────
#' Gender concept_id to label mapping.
#' @keywords internal
GENDER_LABELS <- c("8532" = "F", "8507" = "M")
#' Age decade clamping: all ages >= this value merge into a single "80+" group.
#' @keywords internal
AGE_CLAMP_MAX <- 80L
#' k-anonymity threshold. Any stratum cell with fewer patients is suppressed.
#' @keywords internal
K_ANONYMITY <- 5L
# ── Condition domain ────────────────────────────────────────────────────────
#' Anchor concept_ids for condition chapter assignment.
#' @keywords internal
CHAPTER_ROOTS <- list(
body_system = 4180628L,
disease_category = 4274025L
)
#' SNOMED relationship types to extract as condition attributes.
#' @keywords internal
CONDITION_RELATIONSHIPS <- c(
finding_site = "Has finding site",
morphology = "Has asso morph",
clinical_course = "Has clinical course",
causative_agent = "Has causative agent",
occurrence = "Has occurrence",
pathology = "Has pathology"
)
# ── Procedure domain ───────────────────────────────────────────────────────
#' Anchor concept_ids for procedure chapter assignment.
#' @keywords internal
PROCEDURE_CHAPTER_ROOTS <- list(
by_method = 4029205L,
by_site = 4180627L
)
#' SNOMED relationship types to extract as procedure attributes.
#' @keywords internal
PROCEDURE_RELATIONSHIPS <- c(
procedure_site = "Has dir proc site",
method = "Has method"
)
# ── Drug domain ─────────────────────────────────────────────────────────────
#' ATC vocabulary constants for chapter lookup.
#' @keywords internal
ATC_CHAPTER_VOCAB <- "ATC"
#' @keywords internal
ATC_CHAPTER_CLASS <- "ATC 1st"
#' Drug attribute relationships (empty - RxNorm relationships are structural).
#' @keywords internal
DRUG_RELATIONSHIPS <- character(0)
# ── Output directories ──────────────────────────────────────────────────────
#' Base directory for extracted source data.
#' @keywords internal
SOURCES_DIR <- "data/sources"
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