title: Modeling concepts in medicine for medical language understanding.
abstract: Over the past two decades, the construction of models for medical concept representation and for understanding of the deep meaning of medical narrative texts have been challenging areas of medical informatics research. This review highlights how these two inter-related domains have evolved, emphasizing aspects of medical modeling as a tool for medical language understanding. A representation schema, which balances partially but accurately with complete but complex representations of domain-specific knowledge, must be developed to facilitate language understanding. Representative examples are drawn from two major independent efforts undertaken by the authors: the elaboration and the subsequent adjustment of the RECIT multilingual analyzer to include a robust medical concept model, and the recasting of a frame-based interlingua system, originally developed to map equivalent concepts between controlled clinical vocabularies, to invoke a similar concept model.
authors.affiliation: Division of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA. anne-marie.rassinoux@dim.hcuge.ch
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: D001185:Artificial Intelligence; D003198:Computer Simulation; D006801:Humans; D008492:Medical Informatics Computing; D009323:Natural Language Processing; D012984:Software; D009626:Terminology as Topic; D018875:Vocabulary, Controlled