Optimize Concept Set and Suggest Missing Codes — optimize_concept_set • omopduckdb

Evaluates target concept IDs against CDM tables and Athena hierarchies to suggest:

Hierarchical siblings sharing parent concepts.
High-frequency co-occurring conditions, drugs, and measurements.
High-frequency unmapped source values (concept_id = 0).
Lexical synonyms and related clinical terms.

Usage

optimize_concept_set(
  con,
  concept_ids,
  threshold_frequency = 100L,
  max_suggestions = 50L
)

Arguments

con: Active DBI/DuckDB connection.
concept_ids: Integer or numeric vector of target concept IDs.
threshold_frequency: Minimum clinical occurrences required for suggestions (default 100L).
max_suggestions: Maximum number of suggestions to return (default 50L).

Value

A data.frame of suggested concepts with rationale and co-occurrence counts.