Publications
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GEM: The GAAIN Entity Mapper
Source: Data Integration in the Life Sciences 2015 Jul;0:13-27.
Author: Naveen Ashish, Peehoo Dewan, Jose-Luis Ambite and Arthur W. Toga
PubMed ID: 26665184
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.
Source: Data Integration in the Life Sciences 2015 Jul;0:13-27.
Author: Naveen Ashish, Peehoo Dewan, Jose-Luis Ambite and Arthur W. Toga
PubMed ID: 26665184
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.