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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;doi:10.1145/1619258.1619308 dblp:conf/debs/GuerraGB09 fatcat:qvgy7j6wirhfrd43gfqem2vi3m