A probabilistic similarity metric for Medline records: a model for author name disambiguation.
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).
Torvik
Vetle I
VI
Department of Psychiatry, University of Illinois at Chicago, IL, USA.
Weeber
Marc
M
Swanson
Don R
DR
Smalheiser
Neil R
NR
D001319:Authorship; D015706:Bibliometrics; D016239:MEDLINE; D046650:Medical Subject Headings; D009275:Names; D011336:Probability