Artificial intelligence for medical knowledge representation/reasoning/acquisition

Author

Kabakcioglu, A.M.

Author_Institution

Miami Univ., Coral Gables, FL

fYear

1992

fDate

18-20 Aug 1992

Firstpage

186

Lastpage

191

Abstract

Time is central to medical reasoning in tasks such as diagnosis, prognosis, monitoring and therapy planning. However few computerized medical information systems make explicit use of time. Only in the last few years more attention has been given to the temporal aspects of medicine. The author attempts to provide a unified framework to capture diverse aspects of medical temporal reasoning such as knowledge representation, query processing, approximate reasoning and learning

Keywords

knowledge acquisition; knowledge representation; learning (artificial intelligence); medical expert systems; planning (artificial intelligence); approximate reasoning; artificial intelligence; diagnosis; knowledge acquisition; learning; medical informatics; medical knowledge representation; medical reasoning; monitoring; prognosis; query processing; temporal production system; temporal reasoning; therapy planning; Artificial intelligence; Diseases; Knowledge representation; Logic; Medical diagnostic imaging; Medical expert systems; Medical treatment; Problem-solving; Production systems; Query processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering Days, 1992., Proceedings of the 1992 International

Conference_Location

Istanbul

Print_ISBN

0-7803-0743-7

Type

conf

DOI

10.1109/IBED.1992.247110

Filename

247110