From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Agent technology: foundations, applications, and markets
Agent technology: foundations, applications, and markets
Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Intelligent Data Analysis in Medicine and Pharmacology
Intelligent Data Analysis in Medicine and Pharmacology
Guardian: An Intelligent Autonomous Agent for Medical Monitoring and Diagnosis
IEEE Intelligent Systems
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Mobile clinical support system for pediatric emergencies
Decision Support Systems
An intelligent system for customer targeting: a data mining approach
Decision Support Systems
EDDIE-automation, a decision support tool for financial forecasting
Decision Support Systems - Special issue: Data mining for financial decision making
Decision station: situating decision support systems
Decision Support Systems
A fuzzy decision support system for strategic portfolio management
Decision Support Systems
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
A multi-agent intelligent environment for medical knowledge
Artificial Intelligence in Medicine
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In our work aim to automate the knowledge discovery process. In this paper we present the INTCare system, an intelligent decision support system for intensive care medicine. INTCare is an agent based system that has (autonomous) agents responsible both for data acquisition and model updating thus reducing the need for human intervention. In the present, INTCare is predicting organ failure and probability of in-hospital death. Reliable prediction results facilitate a change from the current reactive behavior to a pro-active one thus enhancing the quality of service. The functional and structural aspects are presented as are some results obtained using data collected from the bedside monitors.