title: An automatic indexing method for medical documents.
abstract: This paper describes MetaIndex, an automatic indexing program that creates symbolic representations of documents for the purpose of document retrieval. MetaIndex uses a simple transition network parser to recognize a language that is derived from the set of main concepts in the Unified Medical Language System Metathesaurus (Meta-1). MetaIndex uses a hierarchy of medical concepts, also derived from Meta-1, to represent the content of documents. The goal of this approach is to improve document retrieval performance by better representation of documents. An evaluation method is described, and the performance of MetaIndex on the task of indexing the Slice of Life medical image collection is reported.
authors.affiliation: Section of Medical Informatics, University of Pittsburgh School of Medicine.
authors.forename: M M
authors.initials: MM
authors.lastname: Wagner
mesh_terms: D000043:Abstracting and Indexing / Q000379:methods*; D000465:Algorithms; D003952:Diagnostic Imaging; D005069:Evaluation Studies as Topic; D016247:Information Storage and Retrieval; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing; D012984:Software; D017432:Unified Medical Language System