Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 2016 International Conference on Big Data and Smart Computing, BigComp 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 3-9 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781467387965 |
| DOIs | |
| Publication status | Published - 2016 Jan 1 |
| Event | International Conference on Big Data and Smart Computing, BigComp 2016 - Hong Kong, China Duration: 2016 Jan 18 → 2016 Jan 20 |
Publication series
| Name | 2016 International Conference on Big Data and Smart Computing, BigComp 2016 |
|---|
Other
| Other | International Conference on Big Data and Smart Computing, BigComp 2016 |
|---|---|
| Country | China |
| City | Hong Kong |
| Period | 16/1/18 → 16/1/20 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Information Systems
- Information Systems and Management
Cite this
}
Exploring perceptual differences of experts and the public on diabetes. / Lee, Dahee; Kim, Won Chul; Song, Min.
2016 International Conference on Big Data and Smart Computing, BigComp 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 3-9 7425794 (2016 International Conference on Big Data and Smart Computing, BigComp 2016).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Exploring perceptual differences of experts and the public on diabetes
AU - Lee, Dahee
AU - Kim, Won Chul
AU - Song, Min
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84964635572&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964635572&partnerID=8YFLogxK
U2 - 10.1109/BIGCOMP.2016.7425794
DO - 10.1109/BIGCOMP.2016.7425794
M3 - Conference contribution
AN - SCOPUS:84964635572
T3 - 2016 International Conference on Big Data and Smart Computing, BigComp 2016
SP - 3
EP - 9
BT - 2016 International Conference on Big Data and Smart Computing, BigComp 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -