OMOP CDM Can Facilitate Data-Driven Studies for Cancer Prediction: A Systematic Review.

ABSTRACT: The current generation of sequencing technologies has led to significant advances in identifying novel disease-associated mutations and generated large amounts of data in a high-throughput manner. Such data in conjunction with clinical routine data are proven to be highly useful in deriving population-level and patient-level predictions, especially in the field of cancer precision medicine. However, data harmonization across multiple national and international clinical sites is an essential step for the assessment of events and outcomes associated with patients, which is currently not adequately addressed. The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is an internationally established research data repository introduced by the Observational Health Data Scien

SUBMITTER: Ahmadi N 

PROVIDER: S-EPMC9569469 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature