Addressing the complexity of patient monitoring with multiagents and modular logic

Authors:
Susan L. Mabry;Timothy Etters;Troy Schneringer;Naomi Edwards;Caleb Hug
Affiliations:
Whitworth College, Spokane, Washington;Whitworth College, Spokane, Washington;Whitworth College, Spokane, Washington;Whitworth College, Spokane, Washington;Whitworth College, Spokane, Washington
Venue:
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Year:
2003

Citing 1
Cited 1

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Abstract

While there is a recognized need among medical clinicians for assistance in monitoring and diagnostic tasks, the domain is extremely complex. Teams of distributed agents and interchangeable logic modules can address practical issues in a fielding of MAS technology. IM-Agents employ dynamic inference through a hybrid approach of fuzzy logic, connection networks, trend analysis and qualitative logic. Decision functionality in test cases involves emergency trauma scenarios, with particular focus on stabilizing hemorrhagic shock.