exploring social media & semantic web for health education

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Exploring Social Media & Semantic Web for Health Educationhttp://meco-project.eu/medex2011

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Exploring Social Media & Semantic Web for Health Education

Stathis Th. Konstantinidis, Luis Fernandez-Luque*, Panagoitis D. Bamidis, Randi Karlsen

Online health informationMost Europeans use Internet for searching health information

Kummervold PE, Chronaki CE, Lausen B, Prokosch H, Rasmussen J, Santana S, Staniszewski A, Wangberg SCeHealth Trends in Europe 2005-2007: A Population-Based SurveyJ Med Internet Res 2008;10(4):e42

Internet (lines) and Internet health usage (bars) in 2005 and 2007, by age and gender

Online (social) health information

Online Health Videos

Each minute 48 hours of videos are uploaded to YouTube

• YouTube is the 3rd most visited web in Norway

• 150 years of YouTube video are watched every day on Facebook (up 2.5x year/year)

• US Hospitals have published more than 40.000 videos

http://www.youtube.com/t/press_statistics

Online Health Videos

• Each minute 48 hours of videos are uploaded to YouTube

YouTube is the 3rd most visited web in Norway

• 150 years of YouTube video are watched every day on Facebook (up 2.5x year/year)

• US Hospitals have published more than 40.000 videos

http://www.alexa.com/topsites/countries/NO

Online Health Videos

• Each minute 48 hours of videos are uploaded to YouTube

• YouTube is the 3rd most visited web in Norway

150 years of YouTube video are watched every day on Facebook (up 2.5x year/year)

• US Hospitals have published more than 40.000 videos

http://www.youtube.com/t/press_statistics

Online Health Videos

• Each minute 35 hours of videos are uploaded to YouTube

• YouTube is the 3rd most visited web in Norway

• 150 years of YouTube video are watched every day on Facebook (up 2.5x year/year)

US Hospitals have published more than 40.000 videos

http://ebennett.org/hsnl/

Examples

YouTube limitations• Hard to find good content

• Funny, polemic, disturbing videos are very popular

• Professional and patient videos together

MyHealthVideos - Web Videos are displayed in a Video Web portal based on Drupal (Content

Management System)• Crawler: automatic integration of videos from trusted YouTube’s health channels

MyHealthVideos - Web• Videos are displayed in a Video Web portal based on Drupal Crawler: automatic integration of videos from trusted YouTube’s health channels

No need to upload again Videos are embedded (increasing YouTube views)

YouTube’s APIMyHealthVideo’s

Repository

MyHealthVideos - Mobile• Mobile Table App

HTML5 player for iPhone, iPad and Android Customized (search in MyHealthVideo repository)

MyHealthVideos – Recommendations & Search

• Search and recommendation engine specialized in health content• Personalized recommendations based on collaborative filtering

• Custom search based on trust

• "HealthTrust: Trust-based Retrieval of YouTube's Diabetes Channels", 20th ACM Conference on Information and Knowledge Management, 24-28 October, 2011, Glasgow, UK

• "Extracting Information from the Social Web for Health Personalization" J Med Internet Res. 2011 Jan 28;13(1):e15. 

• "Personalized Health Applications in the Web 2.0: The Emergence of a New Approach", Conf Proc IEEE Eng Med Biol Soc. 2010;2010:1053-6. 

• "Challenges and Opportunities of using Recommender Systems for Personalized Health Education”, Stud Health Technol Inform. 2009;150:903-7

• “An analysis of personal medical information disclosed in YouTube videos created by patients with multiple sclerosis”, Stud Health Technol Inform. 2009;150:292-6.

• “Personalization in the Age of Health 2.0: MyHealthEducator”, In Proceedings of International Workshop on Adaptation and Personalization for Web 2.0 (AP-WEB 2.0 2009), UMAP 2009, Trento, Italy, June 22, 2009

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mEducator central idea• discover, retrieve, use, rate, re-use and re-purpose educational content irrespective of any Learning Management System use

• providers and users of such content may be – expert instructors (academics / health professionals)

– students / learners

• YouTube metadata is not enough to describe the purpose of the content.– Only one description is possible

Solution 2 architecture:

(1) federated access to eLearning repositories across the Web:•integrating existing educational resources from across the Web using Linked Data/Linked Services technologies •enabling federated queries for educational resources by end users and 3rd party applications

(2) publishing educational resource metadata as Linked Data: •following state of the art Linked Data principles (URIs, RDF, SPARQL, interlinked data with established vocabularies such as SNOMED, MESH, GALEN…)

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mEducator 3.0 Overview

MyHealthVideos + Semantics

• mEducator metadata/ontology to describe educational value of the videos– Wizard for annotation (Drupal Module) – Automatic extraction of YouTube Metadata (license)– Metadata published as LinkedData & SPARQL

meducator

meducator

mEducator 3.0 Drupal

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Testing• Surgery videos from US Hospitals (around 500

videos) – Wizard for annotation (Drupal Module) – Automatic extraction of YouTube Metadata (license)– Metadata published as LinkedData & SPARQL– TDB: From YouTube tags to SNOMED

• Evaluation by end 2011

Questions ?

Luis Fernandez Luque (luis.luque@norut.no)

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