Publication Type : Conference Paper
Thematic Areas : Wireless Network and Application
Publisher : Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, ACM, New York, NY, USA .
Source : Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, ACM, New York, NY, USA (2016)
Url : http://dl.acm.org/citation.cfm?id=2972716
Keywords : Motif discovery, remote health monitoring.
Campus : Amritapuri
School : School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Wireless Networks and Applications (AWNA)
Year : 2016
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.