title: Modeling principles for QMR medical findings.
abstract: Structured representation of medical information is essential for ensuring the accuracy and reliability of computerized decision support applications. Such systems require input that is error-free and clinically pertinent. This paper reviews existing medical models, particularly those exploited for natural language understanding, and highlights modeling features important to future indexing of medical texts with controlled vocabularies. A hybrid representation derived from existing frame-based and conceptual-graph-based systems is proposed to represent relevant medical terms as used by experts.
authors.affiliation: Division of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA.
authors.forename: A M
authors.initials: AM
authors.lastname: Rassinoux
authors.forename: R A
authors.initials: RA
authors.lastname: Miller
authors.forename: R H
authors.initials: RH
authors.lastname: Baud
authors.forename: J R
authors.initials: JR
authors.lastname: Scherrer
mesh_terms: D000043:Abstracting and Indexing; D008962:Models, Theoretical; D009626:Terminology as Topic; D018875:Vocabulary, Controlled