Restricted natural language processing for case simulation tools.
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.
Lehmann
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Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Nguyen
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Kim
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GR
Johnson
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Lehmann
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HP
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