Abductive inference models for diagnostic problem-solving
Abductive inference models for diagnostic problem-solving
An architecture for adaptive intelligent systems
Artificial Intelligence - Special volume on computational research on interaction and agency, part 1
Diagnosis based on explicit means-end models
Artificial Intelligence
An Intelligent Tele-Healthcare Environment Offering Person-Centric and Wellness-Maintenance Services
Journal of Medical Systems
Addressing the complexity of patient monitoring with multiagents and modular logic
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Intelligent data analysis
Intelligent agents for patient monitoring and diagnostics
Proceedings of the 2003 ACM symposium on Applied computing
Diagnostic Knowledge Acquisition for Agent-Based Medical Applications
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
INTCare: on-line knowledge discovery in the intensive care unit
INES'09 Proceedings of the IEEE 13th international conference on Intelligent Engineering Systems
A multi-agent system for information retrieval
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Editorial: Software agents in health care
Artificial Intelligence in Medicine
Anthropic agency: a multiagent system for physiological processes
Artificial Intelligence in Medicine
COMMODITY12: A smart e-health environment for diabetes management
Journal of Ambient Intelligence and Smart Environments - Design and Deployment of Intelligent Environments
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The tasks of monitoring and diagnosing intensive-care patients take knowledge and skill and demand correct action in complex, unexpected, and time-critical situations. Guardian, developed at Stanford University's Knowledge Systems Laboratory, is a knowledge-based system designed to perform these tasks for post-cardiac surgery patients.1 The system is an autonomous agent with a flexible architecture, in which several algorithms cooperate to produce diagnoses and treatment plans under hard real-time conditions. Guardian has undergone several tests, and, with the help of a patient-simulator system, we have com-pared its performance to that of human physicians. The results show that a system such as Guardian is clearly valuable as a decision-support tool in an intensive-care unit.