title: Restricted natural language processing for case simulation tools.
abstract: For Interactive Patient II, a multimedia case simulation designed to improve history-taking skills, we created a new natural language interface called GRASP (General Recognition and Analysis of Sentences and Phrases) that allows students to interact with the program at a higher level of realism. Requirements included the ability to handle ambiguous word senses and to match user questions/queries to unique Canonical Phrases, which are used to identify case findings in our knowledge database. In a simulation of fifty user queries, some of which contained ambiguous words, this tool was 96% accurate in identifying concepts.
authors.affiliation: Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
authors.forename: C U
authors.initials: CU
authors.lastname: Lehmann
authors.forename: B
authors.initials: B
authors.lastname: Nguyen
authors.forename: G R
authors.initials: GR
authors.lastname: Kim
authors.forename: K B
authors.initials: KB
authors.lastname: Johnson
authors.forename: H P
authors.initials: HP
authors.lastname: Lehmann
mesh_terms: D003198:Computer Simulation; D003194:Computer-Assisted Instruction; D003933:Diagnosis; D004504:Education, Medical, Undergraduate / Q000379:methods*; D006801:Humans; D020407:Internet; D008487:Medical History Taking; D019212:Multimedia; D009323:Natural Language Processing; D010808:Physical Examination; D013812:Therapeutics