Name
Abstract | ||
|---|---|---|
User-generated social health data can provide valuable insights into the health care behavior and practices of patients for clinicians, policy makers and other patients. Social InfoButtons is a tool for integrating and analyzing social health data, using a semantic data integration framework that is flexible and extensible with respect to a variety of health data sources. The integration overlay provides a framework that semantically links data enabling cross dataset exploration and analysis. The unified data model for both scientific and social sources allows multi-dimensional analysis and the ability to explore and compare the expert knowledge with the actual health care practices of patients. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-19890-3_53 | International Conference on Web Engineering |
Keywords | Field | DocType |
Social health analytics,Data integration,Linked data | Data science,Health care,Data integration,Data mining,Computer science,Linked data,Semantic data integration,Knowledge management,Analytics,Data model,Social determinants of health | Conference |
Volume | ISSN | Citations |
9114 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiang Ji | 1 | 34 | 4.46 |
| Paolo Cappellari | 2 | 2 | 2.05 |
| Soon Ae Chun | 3 | 893 | 100.67 |
| James Geller | 4 | 33 | 5.08 |