Exploring Social Media & Semantic Web for Health Education

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Exploring Social Media & Semantic Web for Health Education Stathis Th. Konstantinidis, Luis Fernandez-Luque*, Panagoitis D. Bamidis, Randi Karlsen

description

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

Transcript of Exploring Social Media & Semantic Web for Health Education

Page 1: Exploring Social Media & Semantic Web for Health Education

Exploring Social Media & Semantic Web for Health Education

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

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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

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Online (social) health information

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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

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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

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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

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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/

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Examples

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YouTube limitations• Hard to find good content

• Funny, polemic, disturbing videos are very popular

• Professional and patient videos together

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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

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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

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MyHealthVideos - Mobile• Mobile Table App

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

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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

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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

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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

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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

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Questions ?

Luis Fernandez Luque ([email protected])