A health information recommender system: Enriching YouTube health videos with Medline Plus information by the use of SnomedCT terms

A. Rivero-Rodríguez, S. Th Konstantinidis, C. L. Sanchez-Bocanegra, L. Fernández-Luque

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems
Pages257-261
Number of pages5
DOIs
Publication statusPublished - 9 Dec 2013
Event26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013 - Porto, Portugal
Duration: 20 Jun 201322 Jun 2013

Publication series

NameProceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems

Other

Other26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013
CountryPortugal
CityPorto
Period20/6/1322/6/13

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ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

Cite this

Rivero-Rodríguez, A., Konstantinidis, S. T., Sanchez-Bocanegra, C. L., & Fernández-Luque, L. (2013). A health information recommender system: Enriching YouTube health videos with Medline Plus information by the use of SnomedCT terms. In Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems (pp. 257-261). [6627798] (Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems). https://doi.org/10.1109/CBMS.2013.6627798