GEM: The GAAIN Entity Mapper

  • Naveen Ashish
  • Peehoo Dewan
  • Jose-Luis Ambite
  • Arthur W. Toga
Conference paper

DOI: 10.1007/978-3-319-21843-4_2

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9162)
Cite this paper as:
Ashish N., Dewan P., Ambite JL., Toga A.W. (2015) GEM: The GAAIN Entity Mapper. In: Ashish N., Ambite JL. (eds) Data Integration in the Life Sciences. DILS 2015. Lecture Notes in Computer Science, vol 9162. Springer, Cham

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.

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Naveen Ashish
    • 1
  • Peehoo Dewan
    • 1
  • Jose-Luis Ambite
    • 2
  • Arthur W. Toga
    • 1
  1. 1.Laboratory of NeuroImaging, Keck School of Medicine of USC, USC Stevens Neuroimaging and Informatics InstituteUniversity of Southern CaliforniaLos AngelesUSA
  2. 2.Information Sciences InstituteUniversity of Southern CaliforniaLos AngelesUSA

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