Rule-Based Combination of Comorbid Treatments for Chronic Diseases Applied to Hypertension, Diabetes Mellitus and Heart Failure

  • Joan Albert López-Vallverdú
  • David Riaño
  • Antoni Collado
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7738)

Abstract

The treatment of patients with several chronic diseases (comorbidities) has become a frequent actuation of health-care professionals in their daily practice. As different treatments are needed for each disease, there is a risk of undesired drug interactions that must be detected and solved using evidence-based medical knowledge. In this paper we have extracted part of this knowledge for the comorbidities of hypertension, diabetes mellitus and heart failure, and we have represented it by means of combination rules. A rule execution system has been developed which is able to combine treatments of different diseases into a unique comorbid treatment avoiding undesired drug interactions. The system has been checked by health-care professionals of the SAGESSA Health-care group in 20 medical cases.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Joan Albert López-Vallverdú
    • 1
  • David Riaño
    • 1
  • Antoni Collado
    • 2
  1. 1.Research Group on Artificial IntelligenceUniversitat Rovira i VirgiliTarragonaSpain
  2. 2.Grup SagessaTarragonaSpain

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