A probabilistic similarity metric for Medline records: a model for author name disambiguation
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- PMID: 14728536
- PMCID: PMC1480109
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A probabilistic similarity metric for Medline records: a model for author name disambiguation
AMIA Annu Symp Proc.
2003.
Abstract
We present a model for automatically generating training sets and estimating the probability that a pair of Medline records sharing a last and first name initial are authored by the same individual, based on shared title words, journal name, co-authors, medical subject headings, language, and affiliation, as well as distinctive features of the name itself (i.e., presence of middle initial, suffix, and prevalence in Medline).
Figures
Individual attributes’ similarity distributions estimated by comparing the matchsets versus the non-matchsets.
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