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PhD: Semantic Modelling of Virtual Patient
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PhD: Semantic Modelling of Virtual Patient

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Using Semantic Web technology to model Virtual Patients

Using Semantic Web technology to model Virtual Patients

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  • Please use the dd month yyyy format for the date for example 11 January 2008. The main title can be one or two lines long.
  • Transcript

    • 1. Using Semantic Web technology to model Virtual Patients
    • 2. Semantic what ?
      • Semantic = that has meaning
      Asking question about stuff (queries) Getting Answers Connected data
    • 3. How it works: Resource Description Framework
      • RDF describes resources (stuff) using triples : <Object, predicate, Subject>
      RDF Document says things about stuff Object Subject predicate
    • 4. How it works: Resource Description Framework
      • Simple Triple
      JR eLearning Team worksWith
    • 5. How it works: Resource Description Framework
      • Linking several triples together
      FrenchMan JR Is-a eLearning Team worksWith likesToWatch Heroes SciFi shows Lost FlashForward Is-a Is-a Is-a
    • 6. Are we really talking about virtual patients here ?
    • 7. Remember ? Asking question about stuff Getting Answers Connected data
    • 8. Asking questions to our patient Asking question to our virtual patient Virtual Patient description In RDF Virtual Patient ontology Getting Answers
    • 9. What’s that now, “ontology” ?
      • Classes / Hierarchy of objects (resources)
      • Rules about objects :
        • what their characteristics (properties) are,
        • How they connect together.
    • 10. Virtual Cases are interactive scenarios
    • 11. Virtual Patients can answer questions
      • The program knows about:
        • Symptoms : what type, where they are located, the intensity, duration, etc.
    • 12. Virtual Patients can answer questions
      • The program knows about:
        • Medical history : pre-existing conditions, surgery undertaken in the past, etc.
    • 13. Virtual Patients can answer questions
      • The program knows about:
        • Drug history : which drug, how much, for how long
    • 14. Virtual Patients can answer questions
      • The program knows about:
        • Family/Social history : profession, relatives, relationships, etc.
    • 15. Students can perform actions on Virtual Patients
      • Actions have consequences, and can bring the student to new events
      • Actions can reveal information (images, sound, new symptoms, etc.)
      Examinations Diagnosis Referral Treatment