Coronary Damage Classification of Patients with the Chagas Disease with Error-Correcting Output Codes

被引:0
|
作者
Escalera, Sergio [1 ,2 ]
Pujol, Oriol [1 ,2 ]
Laciar, Eric [3 ]
Vitria, Jordi [1 ,2 ]
Pueyo, Esther [4 ]
Radeva, Petia [1 ,2 ]
机构
[1] Comp Vis Ctr, Campus UAB,Edifici 0, Barcelona 08193, Spain
[2] Univ Barcelona, Dept Matemat Appl Anal, Barcelona, Spain
[3] Univ Natl San Juan, Dept Elect & Automat, San Juan, Argentina
[4] Univ Zaragoza, Inst Invest Ingn Aragon, CIBER BBN, Zaragoza, Spain
来源
2008 4TH INTERNATIONAL IEEE CONFERENCE INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2008年
关键词
Chagas disease; Error-Correcting Output Codes; high resolution ECG; decoding;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:542 / +
页数:3
相关论文
共 50 条
  • [1] Cloud classification using error-correcting output codes
    Aha, DW
    Bankert, RL
    AI APPLICATIONS, 1997, 11 (01): : 13 - 28
  • [2] Error-Correcting Output Codes in the Framework of Deep Ordinal Classification
    Barbero-Gomez, Javier
    Antonio Gutierrez, Pedro
    Hervas-Martinez, Cesar
    NEURAL PROCESSING LETTERS, 2022,
  • [3] Error-Correcting Output Codes in the Framework of Deep Ordinal Classification
    Barbero-Gomez, Javier
    Gutierrez, Pedro Antonio
    Hervas-Martinez, Cesar
    NEURAL PROCESSING LETTERS, 2023, 55 (05) : 5299 - 5330
  • [4] Error-Correcting Output Codes in the Framework of Deep Ordinal Classification
    Javier Barbero-Gómez
    Pedro Antonio Gutiérrez
    César Hervás-Martínez
    Neural Processing Letters, 2023, 55 : 5299 - 5330
  • [5] Error-Correcting Output Codes in the Framework of Deep Ordinal Classification
    Barbero-Gomez, Javier
    Gutierrez, Pedro Antonio
    Hervas-Martinez, Cesar
    ADVANCES IN COMPUTATIONAL INTELLIGENCE (IWANN 2021), PT II, 2021, 12862 : 3 - 13
  • [6] Quantum error-correcting output codes
    Windridge, David
    Mengoni, Riccardo
    Nagarajan, Rajagopal
    INTERNATIONAL JOURNAL OF QUANTUM INFORMATION, 2018, 16 (08)
  • [7] Deep Error-Correcting Output Codes
    Wang, Li-Na
    Wei, Hongxu
    Zheng, Yuchen
    Dong, Junyu
    Zhong, Guoqiang
    ALGORITHMS, 2023, 16 (12)
  • [8] Recoding Error-Correcting Output Codes
    Escalera, Sergio
    Pujol, Oriol
    Radeva, Petia
    MULTIPLE CLASSIFIER SYSTEMS, PROCEEDINGS, 2009, 5519 : 11 - +
  • [9] Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification
    Park, Sang-Hyeun
    Fuernkranz, Johannes
    MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT II, 2009, 5782 : 189 - 204
  • [10] Error-correcting output codes for multi-label emotion classification
    Chao Li
    Zhiyong Feng
    Chao Xu
    Multimedia Tools and Applications, 2016, 75 : 14399 - 14416