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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López-Vallverdú, J.A., Riaño, D., Collado, A. (2013). Rule-Based Combination of Comorbid Treatments for Chronic Diseases Applied to Hypertension, Diabetes Mellitus and Heart Failure. In: Lenz, R., Miksch, S., Peleg, M., Reichert, M., Riaño, D., ten Teije, A. (eds) Process Support and Knowledge Representation in Health Care. ProHealth KR4HC 2012 2012. Lecture Notes in Computer Science(), vol 7738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36438-9_2
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DOI: https://doi.org/10.1007/978-3-642-36438-9_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36437-2
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