Aggregating large-scale databases for PubMed author name disambiguation.
PubMed has suffered from the author ambiguity problem for many years. Existing studies on author name disambiguation (AND) for PubMed only used internal metadata for development. However, some of them are incomplete (eg, a large number of names are only abbreviated and their full names are not available) or less discriminative. To this end, we present a new disambiguation method, namely AggAND, by aggregating information from external databases.
Author(s): Zhang, Li, Huang, Yong, Yang, Jinqing, Lu, Wei
DOI: 10.1093/jamia/ocab095