Name
Title | ||
|---|---|---|
Social infobuttons: integrating open health data with social data using semantic technology |
Abstract | ||
|---|---|---|
There is a large amount of free health information available for a patient to address her health concerns. HealthData.gov includes community health datasets at the national, state and community level, readily downloadable. There are also patient-generated datasets, accessible through social media, on the conditions, treatments or side effects that individual patients experience. While caring for patients, clinicians or healthcare providers may benefit from integrated information and knowledge embedded in the open health datasets, such as national health trends and social health trends from patient-generated healthcare experiences. However, the open health datasets are distributed and vary from structured to highly unstructured. An information seeker has to spend time visiting many, possibly irrelevant, websites, and has to select relevant information from each and integrate it into a coherent mental model. In this paper, we present a Linked Data approach to integrating these health data sources and presenting contextually relevant information called Social InfoButtons to healthcare professionals and patients. We present methods of data extraction, and semantic linked data integration and visualization. A Social InfoButtons prototype system provides awareness of community and patient health issues and healthcare trends that may shed light on patient care and health policy decisions. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2484712.2484718 | SWIM@SIGMOD Conference |
Keywords | Field | DocType |
social infobuttons,social data,social health trend,semantic technology,contextually relevant information,health data source,free health information,patient health issue,national health trend,community health datasets,open health datasets,health policy decision,health concern,ontology,social network,semantic integration | Health care,Data science,Data mining,Semantic technology,Social network,HRHIS,Computer science,Knowledge management,Linked data,Community health,Health policy,Social determinants of health | Conference |
Citations | PageRank | References |
3 | 0.47 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiang Ji | 1 | 34 | 4.46 |
| Soon Ae Chun | 2 | 893 | 100.67 |
| James Geller | 3 | 3 | 0.47 |