More and more health consumers have shared their interests in healthcare topics with peers in online health social websites while there has been the rapid surge in volume of biomedical literatures. In this paper, we applied entity and relation extraction techniques to academic literature and social media's contents in the field of diabetes to find distinctions between the perceptions of biomedical experts and the public. We analyzed and compared the experts' and the public's networks constituted by the extracted entities and relations. The results confirmed that there are some differences in their views, i.e., biomedical entities that interest them and relations within their knowledge range.
|Title of host publication||2016 International Conference on Big Data and Smart Computing, BigComp 2016|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||7|
|Publication status||Published - 2016|
|Event||International Conference on Big Data and Smart Computing, BigComp 2016 - Hong Kong, China|
Duration: 2016 Jan 18 → 2016 Jan 20
|Name||2016 International Conference on Big Data and Smart Computing, BigComp 2016|
|Other||International Conference on Big Data and Smart Computing, BigComp 2016|
|Period||16/1/18 → 16/1/20|
Bibliographical notePublisher Copyright:
© 2016 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Information Systems
- Information Systems and Management