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: Contribution to journalArticle

1 Citation (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
Article number6627798
Pages (from-to)257-261
Number of pages5
JournalProceedings - IEEE Symposium on Computer-Based Medical Systems
Publication statusPublished - 1 Jan 2013

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ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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