Proceedings of the 5th ACM international conference on Distributed event-based system
An event-based BSN middleware that supports seamless switching between sensor configurations
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Notifying medical data in health information systems
Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
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Intensive Care Unit data management systems suffer from three problems: data and meta-data are spread out in different systems, there is a high rate of false positives due to default thresholds, and data mining predictions are not available in a timely manner. This proof-of-concept demonstration, based on the Intensive Care Unit environment of the University of Utah Health Sciences Center, presents a system that: i) integrates in one place historical data, events, rules, and data mining models; ii) is highly customizable letting users create or change rules; and iii) identifies possible future risks by performing data mining in soft-real-time. Using simulated inputs, we show the complete system working, including writing and editing rules, triggering simple alerts, prediction of cardiac arrests, and visual explanation of predictions