@inproceedings{3b1469541fb64c9e92cad2a3cab8a69c,
title = "Leveraging social data for health care behavior analytics",
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 multidimensional analysis and the ability to explore and compare the expert knowledge with the actual health care practices of patients.",
keywords = "Data integration, Linked data, Social health analytics",
author = "Xiang Ji and Paolo Cappellari and Chun, {Soon Ae} and James Geller",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 15th International Conference on Web Engineering, ICWE 2015 ; Conference date: 23-06-2015 Through 26-06-2015",
year = "2015",
doi = "10.1007/978-3-319-19890-3_53",
language = "English (US)",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "667--670",
editor = "Flavius Frasincar and Geert-Jan Houben and Philipp Cimiano and Daniel Schwabe",
booktitle = "Engineering the Web in the Big Data Era - 15th International Conference, ICWE 2015, Proceedings",
address = "Germany",
}