Using large language models to enhance clinically-driven missing data recovery algorithms in electronic health records
{{output}}
Objectives: Electronic health record (EHR) data are prone to missingness and errors. Previously, we devised an enriched chart review protocol where a "roadmap" of auxiliary diagnoses was used to recover missing values. Still, c... ...
