RCD: a toolkit for rheumatic valvular and congenital heart defect diagnosis

详细信息    查看全文

• 作者：Faiza Iftikhar ; Ayesha Shams ; Arfa Dilawari
• 关键词：Rheumatic valvular heart disease ; Congenital heart defect ; Feed ; forward back ; propagation neural network ; Supervised network
• 刊名：Neural Computing & Applications
• 出版年：2013
• 出版时间：November 2013
• 年：2013
• 卷：23
• 期：6
• 页码：1729-1735
• 全文大小：605KB
• 参考文献：1. Wyszynski DF, Correa-Villase?or A, Graham TP (2009) Congenital heart defects: from origin to treatment. Oxford University Press, Oxford
  2. Wang A, Bashore TM (2009) Valvular heart disease. Springer, Berlin CrossRef
  3. Abbod MF, von Keyserlingk DG, Linkens DA, Mahfouf M (2001) Survey of utilisation of fuzzy technology in medicine and healthcare. Fuzzy Sets Syst 120(2):331-49. doi:10.1016/S0165-0114(99)00148-7 CrossRef
  4. Yan H, Jiang Y, Zheng J, Peng C, Li Q (2006) A multilayer perceptron-based medical decision support system for heart disease diagnosis. Expert Syst Appl 30(2):272-81. doi:10.1016/j.eswa.2005.07.022 CrossRef
  5. Yan H, Zheng J, Jiang Y, Peng C, Li Q (2006) Development of a decision support system for heart disease diagnosis using multilayer perceptron. Expert Syst Appl 30(2):272-81. doi:10.1016/j.eswa.2005.07.022 CrossRef
  6. Hannan SA, Manza RR, Ramteke RJ (2010) Generalized regression neural network and radial basis function for heart disease diagnosis. Int J Comput Appl 7:0975-887
  7. Yuliang H, Junxuan Q, Haibin W, Xiubo W (2010) Quantized analysis for heart valve disease based on cardiac sound characteristic waveform method. Int Conf Signal Process Syst 23:V1-258–V1-262. doi:10.1109/ICSPS.2010.5555596
  8. Dehariya et al (2011) An effective approach for medical diagnosis preceded by artificial neural network ensemble. Int Conf Electr Comput Technol, 143-47 doi:10.1109/ICECTECH.2011.5941578
  9. Sivanandam SN, Sumathi S, Deepa SN (2006) Introduction to neural networks using Matlab: a computer engineering series. McGraw-Hill, Maidenherd
  10. Punjab Institute of Cardiology: http://www.pic.gop.pk
  11. Iftikhar F, Shams A, Dilawari A (2012) Rhythm disorders—heart beat classification of an electrocardiogram signal. Int J Comput Appl (0975-887) 39(11):38-4
  
• 作者单位：Faiza Iftikhar (1) (2)
  Ayesha Shams (1)
  Arfa Dilawari (1)
  
  1. University of Engineering and Technology Lahore, Lahore, Pakistan
  2. Lahore College for Women University, Lahore, Pakistan
  
• ISSN：1433-3058

文摘

Rheumatic valvular heart disease (RVHD) and congenital heart defect (CHD) are one of the major causes of child deaths in Pakistan. According to a survey, prevalence of RVHD in Pakistan is among the highest in the world and 3.9?% of children suffer from CHD annually. If the diagnostic treatment is done earlier, then the diseases can be controlled before reaching the critical stage. Due to the lack of physicians in poor countries, there is a need for an automatic diagnostic toolkit for congenital and RVHD so that the early and accurate diagnosis of disease could be made possible even in the absence of expert physicians. In this paper, a diagnostic toolkit for rheumatic valvular and congenital heart defect is designed and developed using feed-forward back-propagation network based on symptomatic and clinical parameters. The system is built using MatLab toolkit for neural networks and graphical user interface.