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 |
|---|---|
| Article number | 6627798 |
| Pages (from-to) | 257-261 |
| Number of pages | 5 |
| Journal | Proceedings - IEEE Symposium on Computer-Based Medical Systems |
| Publication status | Published - 2013 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
- Computer Science Applications
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.
In: Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2013, p. 257-261.Research output: Contribution to journal › Article
}
TY - JOUR
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.
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UR - http://www.scopus.com/inward/citedby.url?scp=84897055276&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:84897055276
SP - 257
EP - 261
JO - Proceedings of the IEEE Symposium on Computer-Based Medical Systems
JF - Proceedings of the IEEE Symposium on Computer-Based Medical Systems
SN - 1063-7125
M1 - 6627798
ER -