Publication Type:

Conference Paper

Source:

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, ACM, New York, NY, USA (2016)

ISBN:

9781450344623

URL:

http://dl.acm.org/citation.cfm?id=2972716

Keywords:

motif discovery, remote health monitoring

Abstract:

Personalization of remote health monitoring and healthcare delivery is a challenging research problem faced by practitioners and researchers alike. In this paper we present techniques for trend analysis and data summarization using personalized severity based motif discovery in large time series medical data.

Cite this Research Publication

Rahul K Pathinarupothi and Ekanath Srihari Rangan, “Discovering Vital Trends for Personalized Healthcare Delivery”, in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, New York, NY, USA, 2016.

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