title: GEM: The GAAIN Entity Mapper.
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.
authors.affiliation: Laboratory 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.
authors.forename: Naveen
authors.initials: N
authors.lastname: Ashish
authors.affiliation: Information Sciences Institute, University of Southern California, 4676 Admiralty Way, Marina del Rey, Los Angeles, CA 90292, USA.
authors.forename: Peehoo
authors.initials: P
authors.lastname: Dewan
authors.forename: Jose-Luis
authors.initials: JL
authors.lastname: Ambite
authors.forename: Arthur W
authors.initials: AW
authors.lastname: Toga