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Author Sergio Escalera; Oriol Pujol; Eric Laciar; Jordi Vitria; Esther Pueyo; Petia Radeva edit  doi
openurl 
  Title Coronary Damage Classification of Patients with the Chagas Disease with Error-Correcting Output Codes Type Conference Article
  Year 2008 Publication Intelligent Systems, 4th International IEEE Conference, 6–8 setembre 2008. Abbreviated Journal  
  Volume 2 Issue Pages 12–17  
  Keywords  
  Abstract The Chagaspsila disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the Chagaspsila 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.  
  Address Varna (Bulgaria)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title (up)  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference IS’08  
  Notes MILAB; OR;HuPBA;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ EPL2008 Serial 1042  
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Author Sergio Escalera; Oriol Pujol; Eric Laciar; Jordi Vitria; Esther Pueyo; Petia Radeva edit   pdf
doi  openurl
  Title Classification of Coronary Damage in Chronic Chagasic Patients Type Book Chapter
  Year 2010 Publication Intelligent Systems – From Theory to Practice. Studies in Computational Intelligence Abbreviated Journal  
  Volume 299 Issue Pages 461-478  
  Keywords Chagas disease; Error-Correcting Output Codes; High resolution ECG; Decoding  
  Abstract Post Conference IEEE-IS 2008
The Chagas’ 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.
 
  Address  
  Corporate Author Thesis  
  Publisher Springer-Verlag Place of Publication Editor V. Sgurev, M. Hadjiski (eds)  
  Language Summary Language Original Title (up)  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MILAB;HUPBA;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ EPL2010 Serial 1452  
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