Tesis doctorals> Departament d'Enginyeria Informàtica i Matemàtiques

Use of Decision Tables to Model Assistance Knowledge to Train Medical Residents

  • Identification data

    Identifier: TDX:2061
    Authors:
    Real Vázquez, Francis
    Abstract:
    In this thesis a clinical knowledge model based on decision tables is presented. This model allows us to represent the stages of diagnosis, treatment, and prognosis of different diseases. The decision tables obtained for each phase of the model have been used to represent real diseases from clinical practice guidelines. In the case of diagnosis, we represented eight of the most common secondary causes of hypertension. For the treatment and prognosis we represented seven different emergency shocks. The decision tables obtained for each disease have been used as the basis for two medical training tools aimed to residents. Both tools have been tested in the Hospital Clínic de Barcelona with different groups of residents. After testing, it was concluded that decision tables are suitable for the representation of medical knowledge in all three phases. In addition, the learning tools have been effective in teaching medical procedures, especially for untrained residents.
  • Others:

    Date: 2016-02-10
    Departament/Institute: Departament d'Enginyeria Informàtica i Matemàtiques Universitat Rovira i Virgili.
    Language: eng
    Identifier: http://hdl.handle.net/10803/365559
    Source: TDX (Tesis Doctorals en Xarxa)
    Author: Real Vázquez, Francis
    Director: Riaño Ramos, David
    Format: application/pdf 174 p.
    Publisher: Universitat Rovira i Virgili
    Keywords: Medical training Clinical practice models Decision tables clínica Formación médica Modelos de práctica clínica Tablas de decisión clínica Formació mèdica Models de pràctica clínica Taules de decisió
    Title: Use of Decision Tables to Model Assistance Knowledge to Train Medical Residents
    Subject: 61 - Medicina 37 - Educació. Ensenyament. Formació. Temps lliure 004 - Informàtica Enginyeria i arquitectura
  • Keywords:

    61 - Medicina
    37 - Educació. Ensenyament. Formació. Temps lliure
    004 - Informàtica
    Enginyeria i arquitectura
  • Documents:

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