Abstract
Web 2.0 is the web of collaborating and sharing, where all users have the chance to create, publish and share content. Thus there are two important effects. There is an overload of the information on the web and the trustworthiness of the sources is uncontrolled. In the health domain, access to harmful information could be controlled. To reach this goal we propose a Health Information Recommender System to connect videos with trustworthy information from very trustful medical sources, such as Medline Plus. According to video's data, this system detects the main topic of the video and enriches it with information from very well-known resources. Evaluation results reveal that the method using SNOMED CT terms to identify relative information is the most appropriate as the main method of the Health Information Recommender System.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems |
| Pages | 257-261 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013 - Porto, Portugal Duration: 20 Jun 2013 → 22 Jun 2013 |
Other
| Other | 26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013 |
|---|---|
| Country | Portugal |
| City | Porto |
| Period | 20/6/13 → 22/6/13 |
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ASJC Scopus subject areas
- Biomedical Engineering
- Health Informatics
Cite this
A health information recommender system : Enriching YouTube health videos with Medline Plus information by the use of SnomedCT terms. / Rivero-Rodríguez, A.; Konstantinidis, S. Th; Sanchez-Bocanegra, C. L.; Fernandez, Luis.
Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems. 2013. p. 257-261 6627798.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A health information recommender system
T2 - Enriching YouTube health videos with Medline Plus information by the use of SnomedCT terms
AU - Rivero-Rodríguez, A.
AU - Konstantinidis, S. Th
AU - Sanchez-Bocanegra, C. L.
AU - Fernandez, Luis
PY - 2013
Y1 - 2013
N2 - Web 2.0 is the web of collaborating and sharing, where all users have the chance to create, publish and share content. Thus there are two important effects. There is an overload of the information on the web and the trustworthiness of the sources is uncontrolled. In the health domain, access to harmful information could be controlled. To reach this goal we propose a Health Information Recommender System to connect videos with trustworthy information from very trustful medical sources, such as Medline Plus. According to video's data, this system detects the main topic of the video and enriches it with information from very well-known resources. Evaluation results reveal that the method using SNOMED CT terms to identify relative information is the most appropriate as the main method of the Health Information Recommender System.
AB - Web 2.0 is the web of collaborating and sharing, where all users have the chance to create, publish and share content. Thus there are two important effects. There is an overload of the information on the web and the trustworthiness of the sources is uncontrolled. In the health domain, access to harmful information could be controlled. To reach this goal we propose a Health Information Recommender System to connect videos with trustworthy information from very trustful medical sources, such as Medline Plus. According to video's data, this system detects the main topic of the video and enriches it with information from very well-known resources. Evaluation results reveal that the method using SNOMED CT terms to identify relative information is the most appropriate as the main method of the Health Information Recommender System.
UR - http://www.scopus.com/inward/record.url?scp=84889005296&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84889005296&partnerID=8YFLogxK
U2 - 10.1109/CBMS.2013.6627798
DO - 10.1109/CBMS.2013.6627798
M3 - Conference contribution
SN - 9781479910533
SP - 257
EP - 261
BT - Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems
ER -