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The GAAIN Entity Mapper: Towards Practical Medical Informatics Application

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Data Integration in the Life Sciences (DILS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 9162))

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Abstract

We discuss our work in progress towards the practical application of a system we have developed for automated schema mapping of medical datasets. While starting with a purely knowledge-driven approach to the schema mapping problem, based on information in data dictionaries, we are now incorporating machine-learning classification for determining mappings. We are further integrating the mapping system into a production medical informatics environment. We discuss our ongoing approach and progress in these areas, as well as current challenges.

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Notes

  1. 1.

    http://www.gaain.org

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Author information

Authors and Affiliations

  1. Laboratory of NeuroImaging, Keck School of Medicine of USC, Institute for Neuroimaging and Informatics, University of Southern California, 2001 N Soto Street, Los Angeles, USA

    Peehoo Dewan

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  1. Peehoo Dewan
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Correspondence to Peehoo Dewan .

Editor information

Editors and Affiliations

  1. USC Stevens Neuroimaging and Informatics Institute, Los Angeles, California, USA

    Naveen Ashish

  2. USC Information Sciences Institute, Marina del Rey, California, USA

    Jose-Luis Ambite

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© 2015 Springer International Publishing Switzerland

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Dewan, P. (2015). The GAAIN Entity Mapper: Towards Practical Medical Informatics Application. In: Ashish, N., Ambite, JL. (eds) Data Integration in the Life Sciences. DILS 2015. Lecture Notes in Computer Science(), vol 9162. Springer, Cham. https://doi.org/10.1007/978-3-319-21843-4_22

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  • DOI: https://doi.org/10.1007/978-3-319-21843-4_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21842-7

  • Online ISBN: 978-3-319-21843-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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