Session:

Standard Components and Activities in the Engineering of Intelligent Systems
Monday March 01, 2004, 10.50 – 11.10

Session Chair:

Tatjana Welzer

Paper Title:

The DTP Model: Integration of Intelligent Techniques for the Decision Support in Healthcare Assistance

Author(s):

D. Riaño, Department d'Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili, Tarragona, Spain
J. A. Bohada, Universitat Politècnica de Catalunya, Barcelona, Spain.
T. Welzer, Institut of Informatics, Unviersity of Maribor, Maribor, Slovenia

Abstract:

The paper introduces a new model, called the DTM model, that uses Artificial Intelligence techniques to obtain health-care knowledge that can be applied in a combined way to support the decision making in some relevant medical activities as diagnosis, treatment selection, and prognosis. The DTP model applies inductive learning techniques to hospital data and obtains action rules, clinical guidelines and belief networks. These knowledge structures are respectively exploited by an inference engine, a case-based reasoner, and a probability propagation system to automatically propose a Diagnostic-Treatment-Prognostic (DTP) sequence that the new patients should follow. The model and its implementation has been tested with data concerning cardiopathologies of the patients assisted in the Hospital Joan XXIII in Tarragona.