title: Knowledge-based understanding of radiology text.
abstract: A data acquisition tool which will extract pertinent diagnostic information from radiology reports has been designed and implemented. Pertinent diagnostic information is defined as that clinical data which is used by the HELP medical expert system. The program uses a memory-based semantic parsing technique to 'understand' the text. Moreover, the memory structures and lexicon necessary to perform this action are automatically generated from the diagnostic knowledge base by using a special purpose compiler. The result is a system where data extraction from free text is directed by an expert system whose goal is diagnosis.
authors.affiliation: Department of Medical Informatics, LDS Hospital/University of Utah, Salt Lake City 84143.
authors.forename: D L
authors.initials: DL
authors.lastname: Ranum
mesh_terms: D003194:Computer-Assisted Instruction; D003936:Diagnosis, Computer-Assisted; D005103:Expert Systems; D006751:Hospital Information Systems; D013902:Radiography, Thoracic; D011871:Radiology; D011873:Radiology Information Systems / Q000295:instrumentation*; D012107:Research Design; D012984:Software; D012985:Software Design; D014589:Utah