Title :
Artificial intelligence for medical knowledge representation/reasoning/acquisition
Author :
Kabakcioglu, A.M.
Author_Institution :
Miami Univ., Coral Gables, FL
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;
Conference_Titel :
Biomedical Engineering Days, 1992., Proceedings of the 1992 International
Conference_Location :
Istanbul
Print_ISBN :
0-7803-0743-7
DOI :
10.1109/IBED.1992.247110
