This paper presents a system for declaratively transforming medical subjects' data into a common data model representation. Our work is part of the "GAAIN" project on Alzheimer's disease data federation across multiple data providers. We present a general purpose data transformation system that we have developed by leveraging the existing state-of-the-art in data integration and query rewriting. In this work we have further extended the current technology with new formalisms that facilitate expressing a broader range of data transformation tasks, plus new execution methodologies to ensure efficient data transformation for disease datasets.
CITATION STYLE
Ashish, N., & Toga, A. W. (2015). Medical data transformation using rewriting. Frontiers in Neuroinformatics, 9(FEB), 1–8. https://doi.org/10.3389/fninf.2015.00001
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