Ontology highlight
ABSTRACT: Background
Often missing from or uncertain in a biomedical data warehouse (BDW), vital status after discharge is central to the value of a BDW in medical research. The French National Mortality Database (FNMD) offers open-source nominative records of every death. Matching large-scale BDWs records with the FNMD combines multiple challenges: absence of unique common identifiers between the 2 databases, names changing over life, clerical errors, and the exponential growth of the number of comparisons to compute.Objective
We aimed to develop a new algorithm for matching BDW records to the FNMD and evaluated its performance.Methods
We developed a deterministic algorithm based on advanced data cleaning and knowledge of the naming system and the Damerau-Levenshtein distanc
SUBMITTER: Guardiolle V
PROVIDER: S-EPMC9667378 | biostudies-literature | 2022 Nov
REPOSITORIES: biostudies-literature