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- W1556168077 abstract "Ubiquitous sensor networks have the potential to generate vast streams of data. Making sense of the data represents a considerable challenge. In one approach, some may react only to exceptions. A low-level data mining layer may abstract data into “cubes” of information suitable for reality mining agents to analyse and catalyse decision support. The future of an integrated reality-online analytical framework may concomitantly support remote experts, real-time teams and insight-based or intelligence-trained feedback for point-of-contact (POC) decision makers to improve patient-specific services.The ill-formulated amorphous challenge presented in this working paper relies on (and expects to trigger further development by) individuals who have a breadth of interest and are gifted with the ability to construct fruitful analogies between fields while extracting pragmatic applications to balance cost versus ethics while serving the vastly divergent domains spanned by healthcare: healthcare industry economics conscious of cost and healthcare as a patient-centric service defined by ethical globalization." @default.
- W1556168077 created "2016-06-24" @default.
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- W1556168077 date "2008-12-14" @default.
- W1556168077 modified "2023-09-24" @default.
- W1556168077 title "Can We Apply Principles From Social Networking To Healthcare Informatics For Intelligent Data Analytics" @default.
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