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Mendeley readers
Chapter title |
GEM: The GAAIN Entity Mapper.
|
---|---|
Chapter number | 2 |
Book title |
Data Integration in the Life Sciences
|
Published in |
Lecture notes in computer science, July 2015
|
DOI | 10.1007/978-3-319-21843-4_2 |
Pubmed ID | |
Book ISBNs |
978-3-31-921842-7, 978-3-31-921843-4
|
Authors |
Naveen Ashish, Peehoo Dewan, Jose-Luis Ambite, Arthur W. Toga |
Editors |
Naveen Ashish, Jose-Luis Ambite |
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. |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Librarian | 1 | 25% |
Professor > Associate Professor | 1 | 25% |
Researcher | 1 | 25% |
Student > Master | 1 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 100% |