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  1. Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities (AIIP '13)
  2. On the challenges of balancing privacy and utility of open health data
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Real-life activity recognition: recognizing reading activities
Demand-driven power saving by multiagent negotiation for HVAC control
A semantic approach to retrieving, linking, and integrating heterogeneous geospatial data
Intention-aware routing to minimise delays at electric vehicle charging stations: the research related to this demonstration has been published at IJCAI 2013 [1]
Open data for inclusive governance
Interdependent multi-issue negotiation for energy exchange in remote communities
Democratizing mobile app development for disaster management
A motion detection system for video surveillance
On the challenges of balancing privacy and utility of open health data
A framework for short-term activity-aware load forecasting
A computational model for corruption assessment

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On the challenges of balancing privacy and utility of open health data

Content Provider ACM Digital Library
Author Rao, Chaitanya Guttmann, Christian Rubinstein, Benjamin I. P. Queiroz, Carlos Sun, Xingzhi
Abstract While health data has been collected at large scale for many years, this data is often difficult to obtain for the purpose of research. This is in part due to the cost and complexities involved in preparing this data for third parties. Health data must be adequately de-identified -- a complex process resulting in full or partial "synthetic" data. This paper discusses technological challenges in this process when balancing the preservation of an individual's privacy against the preservation of the data's utility. An example is open health data, where the process of de-identification is often so rigorous that the data is useless for meaningful observational studies. Our discussion is made concrete by considering an open health data set by the American Centres of Medicare and Medicaid Services (CMS).
Starting Page 43
Ending Page 47
Page Count 5
File Format PDF
ISBN 9781450323468
DOI 10.1145/2516911.2516916
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-08-04
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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