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GEM: The GAAIN Entity Mapper
Naveen Ashish1, Peehoo Dewan2, Jose-Luis Ambite
1Laboratory of NeuroImaging, Keck School of Medicine of USC, USC Stevens Neuroimaging and Informatics Institute, University of Southern California, 2001 N Soto Street, Los Angeles, USA.
Abstract:
We present a software system solution that significantly simplifies data sharing of medical data. This system, called GEM (for the GAAIN Entity Mapper), harmonizes medical data. Harmonization is the process of unifying information across multiple disparate datasets needed to share and aggregate medical data. Specifically, our system automates the task of finding corresponding elements across different independently created (medical) datasets of related data. We present our overall approach, detailed technical architecture, and experimental evaluations demonstrating the effectiveness of our approach.
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