Medical treatment conflict resolving in answer set programming

Forrest Sheng Bao, Zhizheng Zhang, Yuanlin Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Medical treatment decision making is a good application of knowledge representation and reasoning. We are particularly interested in using them to resolve treatment conflicts, a complicated condition when two treatments cannot be given simultaneously to a patient suffering from multiple symptoms. The logic system is required to reason on cases with and without treatment conflicts. Thanks to the nonmonotonicity of Answer Set Programming (ASP), we give an elegant solution for resolving a medical treatment conflict on an example problem and show the importance of nonmonotonicity in medical reasoning.

Original languageEnglish
Title of host publicationAAAI-11 / IAAI-11 - Proceedings of the 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference
Pages1752-1753
Number of pages2
StatePublished - 2011
Event25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference, AAAI-11 / IAAI-11 - San Francisco, CA, United States
Duration: Aug 7 2011Aug 11 2011

Publication series

NameProceedings of the National Conference on Artificial Intelligence
Volume2

Conference

Conference25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference, AAAI-11 / IAAI-11
CountryUnited States
CitySan Francisco, CA
Period08/7/1108/11/11

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  • Cite this

    Bao, F. S., Zhang, Z., & Zhang, Y. (2011). Medical treatment conflict resolving in answer set programming. In AAAI-11 / IAAI-11 - Proceedings of the 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference (pp. 1752-1753). (Proceedings of the National Conference on Artificial Intelligence; Vol. 2).