title: A natural language understanding system combining syntactic and semantic techniques.
abstract: A large proportion of the medical record currently available in computerized medical information systems is in the form of free text reports. While the accessibility of this source of data is improved through inclusion in the computerized record, it remains unavailable for automated decision support, medical research, and management of medical delivery systems. Natural language understanding systems (NLUS) designed to encode free text reports represent one approach to making this information available for these uses. Below we describe an experimental NLUS designed to parse the reports of chest radiographs and store the clinical data extracted in a medical data base.
authors.affiliation: Department of Medical Informatics, LDS Hospital, Primary Children's Medical Center, Salt Lake City, Utah.
authors.forename: P
authors.initials: P
authors.lastname: Haug
authors.forename: S
authors.initials: S
authors.lastname: Koehler
authors.forename: L M
authors.initials: LM
authors.lastname: Lau
authors.forename: P
authors.initials: P
authors.lastname: Wang
authors.forename: R
authors.initials: R
authors.lastname: Rocha
authors.forename: S
authors.initials: S
authors.lastname: Huff
mesh_terms: D001499:Bayes Theorem; D007802:Language; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing; D016571:Neural Networks, Computer; D012660:Semantics