The SDA Model: A Set Theory Approach
CBMS '07 Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems
Detecting dominant alternative interventions to reduce treatment costs
KR4HC'11 Proceedings of the 3rd international conference on Knowledge Representation for Health-Care
Automatic generation of clinical algorithms within the state-decision-action model
Expert Systems with Applications: An International Journal
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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.