2011 ExperienceswithMiningTemporalEv

• (Patnaik et al., 2011) ⇒ Debprakash Patnaik, Patrick Butler, Naren Ramakrishnan, Laxmi Parida, Benjamin J. Keller, and David A. Hanauer. (2011). “Experiences with Mining Temporal Event Sequences from Electronic Medical Records: Initial Successes and Some Challenges.” In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2011) Journal. ISBN:978-1-4503-0813-7 doi:10.1145/2020408.2020468

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Cited By

• http://scholar.google.com/scholar?q=%222011%22+Experiences+with+Mining+Temporal+Event+Sequences+from+Electronic+Medical+Records%3A+Initial+Successes+and+Some+Challenges
• http://dl.acm.org/citation.cfm?id=2020408.2020468&preflayout=flat#citedby

Quotes

Author Keywords

• Algorithms; data mining; design; management; medical informatics; medical information systems; partial orders; temporal data mining

Abstract

The standardization and wider use of electronic medical records (EMR) creates opportunities for better understanding patterns of illness and care within and across medical systems. Our interest is in the temporal history of event codes embedded in patients' records, specifically investigating frequently occurring sequences of event codes across patients. In studying data from more than 1.6 million patient histories at the University of Michigan Health system we quickly realized that frequent sequences, while providing one level of data reduction, still constitute a serious analytical challenge as many involve alternate serializations of the same sets of codes. To further analyze these sequences, we designed an approach where a partial order is mined from frequent sequences of codes. We demonstrate an EMR mining system called EMRView that enables exploration of the precedence relationships to quickly identify and visualize partial order information encoded in key classes of patients. We demonstrate some important nuggets learned through our approach and also outline key challenges for future research based on our experiences.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2011 ExperienceswithMiningTemporalEv	Naren Ramakrishnan Debprakash Patnaik Patrick Butler Laxmi Parida Benjamin J. Keller David A. Hanauer			Experiences with Mining Temporal Event Sequences from Electronic Medical Records: Initial Successes and Some Challenges				10.1145/2020408.2020468		2011