Name
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-21843-4_2 | DATA INTEGRATION IN THE LIFE SCIENCES, DILS 2015 |
Field | DocType | Volume |
Data mining,Architecture,Text mining,Information retrieval,Harmonization,Data element,Computer science,Data sharing,Data dictionary,Software system,Topic model,Database | Conference | 9162 |
ISSN | Citations | PageRank |
0302-9743 | 3 | 0.42 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naveen Ashish | 1 | 739 | 132.29 |
| Peehoo Dewan | 2 | 4 | 1.81 |
| José Luis Ambite | 3 | 958 | 110.89 |
| Arthur W. Toga | 4 | 3128 | 261.46 |