Journal of Biomedical Informatics
Understanding medical jargon as if it were a natural language
IJCAI'79 Proceedings of the 6th international joint conference on Artificial intelligence - Volume 1
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This report presents BAOBAB-2, a computer program built upon MYCIN [Shortliffe, 1974] that is used for understanding medical summaries describing the status of patients. Due both to the conventlonal way physicians present medical problems in these summaries and the constrained nature of medical jargon, these texts have a very strong structure. BAOBAB-2 takes advantage of this structure by using a model of this organization as a set of related schemas that facilitate the interpretatlon of these texts. Structures of the schemas and their relatlon to the surface structure are described. Issues relating to selection and use of these schemas by the program during interpretation of the summaries are discussed.