Abstract
American Trypanosomiasis, or Chagas’ disease is an infectious illness caused by the parasite Tripanosoma Cruzi. This disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the chagas’ disease, it is important to detect and measure the coronary damage of the patient. In this paper, we analyze and categorize patients into different groups based on the coronary damage produced by the disease. Based on the features of the heart cycle extracted using high resolution ECG, a multi-class scheme of Error-Correcting Output Codes (ECOC) is formulated and successfully applied. The results show that the proposed scheme obtains significant performance improvements compared to previous works and state-of-the-art ECOC designs.
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Escalera, S., Pujol, O., Laciar, E., Vitrià, J., Pueyo, E., Radeva, P. (2010). Classification of Coronary Damage in Chronic Chagasic Patients. In: Sgurev, V., Hadjiski, M., Kacprzyk, J. (eds) Intelligent Systems: From Theory to Practice. Studies in Computational Intelligence, vol 299. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13428-9_23
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DOI: https://doi.org/10.1007/978-3-642-13428-9_23
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