Understanding Medical Jargon as If It Were a Natural Language
Proceedings of the Sixth International Joint Conference on Artificial Intelligence. .
Abstract
This paper presents BA OBA B-2, a computer program built upon the MYCIN system [II), that is used for understanding medical summaries describing the status of patients. Due to the stereotypic way the physicians present medical problems in these summaries in addition to the constrained nature of medical Jargon, these texts have a very strong structure. BAOBAB-2 takes advantage of this structure by having a model of this organization as a set of related schtmas that facilitate the Interpretation of these texts. Structures of the schemas and their relation to the surface structure of the text are described . Issues relating to selection and use of these schemas by the program during the interpretation are discussed.
@inproceedings{ijcai1979p21,
title = {Understanding Medical Jargon as If It Were a Natural Language},
author = {Bonnet, Alain},
booktitle = {Proceedings of the Sixth International Joint Conference on
Artificial Intelligence, {IJCAI-79}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Bruce G. Buchanan},
year = {1979},
month = {8},
url = {https://ijcai.org/proceedings/1979/21},
}
TY - CPAPER TI - Understanding Medical Jargon as If It Were a Natural Language AU - Bonnet, Alain T2 - Proceedings of the Sixth International Joint Conference on Artificial Intelligence, IJCAI-79 PB - International Joint Conferences on Artificial Intelligence PY - 1979 UR - https://ijcai.org/proceedings/1979/21 ER -Copied
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