Exploring perceptual differences of experts and the public on diabetes

Dahee Lee; Won Chul Kim; Min Song

doi:10.1109/BIGCOMP.2016.7425794

Exploring perceptual differences of experts and the public on diabetes

Dahee Lee, Won Chul Kim, Min Song

Department of Library and Information Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	https://doi.org/10.1109/BIGCOMP.2016.7425794
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

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

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Information Systems
Information Systems and Management

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

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10.1109/BIGCOMP.2016.7425794

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Lee, D., Kim, W. C., & Song, M. (2016). Exploring perceptual differences of experts and the public on diabetes. In 2016 International Conference on Big Data and Smart Computing, BigComp 2016 (pp. 3-9). [7425794] (2016 International Conference on Big Data and Smart Computing, BigComp 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIGCOMP.2016.7425794

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title = "Exploring perceptual differences of experts and the public on diabetes",

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.",

author = "Dahee Lee and Kim, {Won Chul} and Min Song",

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doi = "10.1109/BIGCOMP.2016.7425794",

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Lee, D, Kim, WC & Song, M 2016, Exploring perceptual differences of experts and the public on diabetes. in 2016 International Conference on Big Data and Smart Computing, BigComp 2016., 7425794, 2016 International Conference on Big Data and Smart Computing, BigComp 2016, Institute of Electrical and Electronics Engineers Inc., pp. 3-9, International Conference on Big Data and Smart Computing, BigComp 2016, Hong Kong, China, 16/1/18. https://doi.org/10.1109/BIGCOMP.2016.7425794

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

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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.

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Lee D, Kim WC, Song M. Exploring perceptual differences of experts and the public on diabetes. In 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). https://doi.org/10.1109/BIGCOMP.2016.7425794

Exploring perceptual differences of experts and the public on diabetes

Abstract

Publication series

Other

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

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Cite this