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OMOP common data model (CDM) is designed for analyzing large clinical data and building cohorts for medical research, which requires Extract-Transform-Load processes (ETL) of local heterogeneous medical data. We present… Click to show full abstract
OMOP common data model (CDM) is designed for analyzing large clinical data and building cohorts for medical research, which requires Extract-Transform-Load processes (ETL) of local heterogeneous medical data. We present a concept for developing and evaluating a modularized metadata-driven ETL process, which can transform data into OMOP CDM regardless of 1) the source data format, 2) its versions and 3) context of use.
Keywords:
etl processes;
towards etl;
processes omop;
omop cdm;
cdm;
cdm using
Journal Title: Studies in health technology and informatics
Year Published: 2023
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Journal Title: Studies in health technology and informatics
Year Published: 2023
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!