A Content-Aware Analytics Framework for Open Health Data
The vision of personalized medicine has led to an unprecedented demand for acquiring, managing and exploiting health related information, which in turn has led to the development of many e-Health systems and applications. However, despite this increasing trend only a limited set of information is currently being exploited for analysis and this has become a major obstacle towards the advancement of personalized medicine. To this direction, this paper presents the design and implementation of a content aware health data-analytics framework. The framework enables first the seamless integration of the available data and their efficient management through big data management systems and staging environments. Then the integrated information is further anonymized at run-time and accessed by the data analysis algorithms in order to provide appropriate statistical information, feature selection correlation and clustering analysis.
KeywordsData analysis Data mining Heath data integration IHE profiles Semantic interoperability
This work has been supported by the iManageCancer H2020 EU programme under grant agreement No 643529.
Conflict of Interest
The authors declare no conflict of interest.
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