| Literature DB >> 14728536 |
Vetle I Torvik1, Marc Weeber, Don R Swanson, Neil R Smalheiser.
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).Mesh：
Year: 2003 PMID： 14728536 PMCID： PMC1480109
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN： 1559-4076