title: Historical author affiliations assist verification of automatically generated MEDLINE citations.
abstract: High OCR error rates encountered in author affiliations increase the manual labor needed to verify MEDLINE citations automatically created from scanned journal articles. This is due to poor OCR recognition of the small text and italics frequently used in printed affiliations. Using author-affiliation relationships found in existing MEDLINE records, the SeekAffiliation (SA) program automatically finds potentially correct and complete affiliations, thereby reducing manual effort and increasing the efficiency of creating the citations.
authors.affiliation: National Library of Medicine, NIH, DHHS, Bethesda, MD, USA.
authors.forename: Tehseen F
authors.initials: TF
authors.lastname: Sabir
authors.forename: Susan E
authors.initials: SE
authors.lastname: Hauser
authors.forename: George R
authors.initials: GR
authors.lastname: Thoma
mesh_terms: D001319:Authorship; D001330:Electronic Data Processing; D016239:MEDLINE