CFP last date
20 December 2024
Reseach Article

Applying Advanced NN-based Decision Support Scheme for Heart Diseases Diagnosis

by Sameh Ghwanmeh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 2
Year of Publication: 2012
Authors: Sameh Ghwanmeh
10.5120/6238-8575

Sameh Ghwanmeh . Applying Advanced NN-based Decision Support Scheme for Heart Diseases Diagnosis. International Journal of Computer Applications. 44, 2 ( April 2012), 37-41. DOI=10.5120/6238-8575

@article{ 10.5120/6238-8575,
author = { Sameh Ghwanmeh },
title = { Applying Advanced NN-based Decision Support Scheme for Heart Diseases Diagnosis },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 2 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 37-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number2/6238-8575/ },
doi = { 10.5120/6238-8575 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:34:31.213895+05:30
%A Sameh Ghwanmeh
%T Applying Advanced NN-based Decision Support Scheme for Heart Diseases Diagnosis
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 2
%P 37-41
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Heart diagnosis equipment is not always available in every medical center, especially in the rural areas where less support and care. Physician intuition and experience are not always enough to attain high quality medical results. Therefore, medical errors and unwanted results are reasons for a need for unconventional computer-based diagnosis systems, which in turns reduce medical fatal errors, increasing the patient safety and save lives. The proposed system, which is based on Artificial Neural Networks (ANNs), provides a decision support system to classify the heart diseases: mitral stenosis, aortic stenosis and ventricular septal defect. Additionally, the system offers a promising opportunity to develop an operational screening and testing device for heart disease diagnosis and can provide great assistance for clinicians to make advanced heart sound diagnosis, especially in rural areas where high tech devices may not be available. Series of experiments have been conducted, using real medical data, to test the performance and accuracy of the proposed system. Compared results revealed that the system performance and accuracy are excellent, with a heart diseases classification accuracy of 92%.

References
  1. Hannan, S. A. , V. D. Bhagile, R. R. Manza and R. J. Ramteke, 2010. Diagnosis and medical prescription of heart disease using support vector machine and feedforward backpropagation technique. Int. J. Comput. Sci. Eng. , 2: 2150-2159.
  2. Uguz, H. , 2012. A biomedical system based on artificial neural network and principal component analysis for diagnosis of the heart valve diseases. J. Med. Syst. , 36: 61-72.
  3. Lomsky, M. , P. Gjertsson, L. Johansson, J. Richter and M. Ohlsson et al. ,. 2008. Evaluation of a decision support system for interpretation of myocardial perfusion gated SPECT. Eur. J. Nuclear Med. Mol. Imaging, 35: 1523-1529.
  4. Kumar, A. V. S. , 2012. Diagnosis of heart disease using fuzzy resolution mechanism. J. Artif. Intell. , 5: 47-55.
  5. Al-Shayea, Q. K. , 2011. Artificial neural networks in medical diagnosis. Int. J. Comput. Sci. Issues, 8: 150-154.
  6. Santhiyakumari, N. , P. Rajendran and M. Madheswaran, 2011. Medical decision-making system of ultrasound carotid artery intima-media thickness using neural networks. J. Digital Imaging, 24: 1112-1125.
  7. Liao, Z. , B. Wang, X. Xia and P. M. Hannam, 2012. Environmental emergency decision support system based on artificial neural network. Saf. Sci. , 50: 150-163.
  8. Stergiou, C. and D. Siganos, 2012. Neural networks versus conventional computers. Neural Networks, http://www. doc. ic. ac. uk/~nd/surprise_96/journal/vol4/cs11/report. html.
  9. Yana, H. , Y. Jiang, J. Zheng, C. Peng and Q. Li, 2006. A multilayer perceptron-based medical decision support system for heart disease diagnosis. Expert Syst. Appl. , 30: 272-281.
  10. Papik, K. , B. Molnar, R. Schaefer, Z. Dombovari, Z. Tulassay and J. Feher, 2010. Application of neural networks in medicine: http://uran. donetsk. ua/~masters/2006/kita/zbykovsky/library/nninmed. pdf
  11. Das, R. , I. Turkoglu and A. Sengur, 2009. Diagnosis of valvular heart disease through neural networks ensembles. Comput. Methods Programs Biomed. , 93: 185-191.
  12. Mehrabi, S. , M. Maghsoudloo, H. Arabalibeik, R. Noormand and Y. Nozari, 2009. Application of multilayer perceptron and radial basis function neural networks in differentiating between chronic obstructive pulmonary and congestive heart failure diseases. Expert Syst. Appl. , 36: 6956-6959.
  13. Tripathy, S. S. , 2005. System for diagnosing valvular heart disease using heart sounds. Master's Thesis, Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, India.
  14. Zamri, M. Z. , S. H Salleh and M. D. Sulaiman, 2003. Wavelet analysis and classification of mitral regurgitation and normal heart sounds based on artificial neural networks. Proceedings of the 7th International Symposium on Signal Processing and Its Applications, July 1-4, 2003, Paris, France, pp: 619-620.
  15. Turkoglu, I. and A. Arslan, 2001. An intelligent pattern recognition system based on neural network and wavelet decomposition for interpretation of heart sounds. Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. , 2: 1747-1750.
  16. Turkoglu, I. , A. Arslan and E. Ilkay, 2003. A wavelet neural network for the detection of heart valve diseases. Expert Syst. , 20: 1-7.
  17. Kavitha, K. S. , K. V. Ramakrishnan and M. K. Singh, 2010. Modeling and design of evolutionary neural network for heart disease detection. Int. J. Comput. Sci. Issues, 7: 272-283.
  18. Zin, Z. M. , S. Hussain-Salleh and M. D. Sulaiman, 2003. Wavelet analysis and classification of mitral regurgitation and normal heart sounds based on artificial neural networks. Proc. Int. Symp. Signal Process. Appl. , 2: 619-620.
Index Terms

Computer Science
Information Sciences

Keywords

Anns Decision Support System Heart Disease Diagnosis Knowledge Base Classification Accuracy