Toward a High-Accuracy Hybrid System for Cardiac Patient Data Analysis using C-Means Fuzzy Clustering in Neural Network Structure

Subject Areas : Majlesi Journal of Telecommunication Devices

Mahmood  Karim Qaseem ¹ (Department of Computer Engineering, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran)
Razieh  Asgarnezhad ² (Department of Computer Engineering, Aghigh Institute of Higher Education Shahinshahr, 8314678755, Isfahan, Iran)

Received: 2023-01-11 Accepted : 2023-03-28 Published : 2023-06-01

Keywords:

References:

• [1] Arabasadi, R. Alizadehsani, M. Roshanzamir, H. Moosaei, and A. A. Yarifard, "Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm," Computer methods and programs in biomedicine, vol. 141, pp. 19-26, 2017.


• [2] Bashir, U. Qamar, F. H. Khan, and L. Naseem, "HMV: a medical decision support framework using multi-layer classifiers for disease prediction," Journal of Computational Science, vol. 13, pp. 10-25, 2016.


• [3] A. Jabbar, B. L. Deekshatulu, and P. Chandra, "Heart disease prediction using lazy associative classification," in 2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013, pp. 40-46.


• [4] Karthiga, C. Preethi, and R. D. H. Devi, "Heart disease analysis system using data mining techniques," in 2014 IEEE International Conference on Innovations in Engineering and Technology (ICIET’14). IEEE, 2014.


• [5] Amarbayasgalan, K. H. Park, J. Y. Lee, and K. H. Ryu, "Reconstruction error based deep neural networks for coronary heart disease risk prediction," PLoS One, vol. 14, p. e0225991, 2019.


• [6] Gopika, C. Krishnendu, M. H. Chandana, S. Ananthakrishnan, V. Sowmya, E. Gopalakrishnan, et al., "Single-layer convolution neural network for cardiac disease classification using electrocardiogram signals," in Deep learning for data analytics, ed: Elsevier, 2020, pp. 21-35.


• [7] Mehrankia, M. R. Mollakhalili Meybodi, and K. Mirzaie, "Prediction of Heart Attacks Using Biological Signals Based on Recurrent GMDH Neural Network," Neural Processing Letters, vol. 54, pp. 987-1008, 2022.


• [8] Thakkar, V. Shah, H. Yagnik, and M. Shah, "Comparative anatomization of data mining and fuzzy logic techniques used in diabetes prognosis," Clinical eHealth, vol. 4, pp. 12-23, 2021.


• [9] Vijayashree and H. Parveen Sultana, "Heart disease classification using hybridized Ruzzo-Tompa memetic based deep trained Neocognitron neural network," Health and Technology, vol. 10, pp. 207-216, 2020.


• Oztekin, D. Delen, and Z. J. Kong, "Predicting the graft survival for heart–lung transplantation patients: an integrated data mining methodology," International journal of medical informatics, vol. 78, pp. e84-e96, 2009.


• Roa, J. Bautista, N. Rodríguez, M. D. P. Villamil, A. Jiménez, and O. Bernal, "Data mining: A new opportunity to support the solution of public health issues in Colombia," in 2011 6th Colombian Computing Congress (CCC), 2011, pp. 1-6.


• Palaniappan and R. Awang, "Intelligent heart disease prediction system using data mining techniques," in 2008 IEEE/ACS international conference on computer systems and applications, 2008, pp. 108-115.


• R. Quinlan, C4. 5: programs for machine learning: Elsevier, 2014.


• Last and O. Maimon, "A compact and accurate model for classification," IEEE Transactions on Knowledge and Data Engineering, vol. 16, pp. 203-215, 2004.


• Jangizehi, J. Hosseinkhani, A. R. Kenari, and A. Roshandel, "Providing a Model for Designing a Decision-Making System Using Fuzzy Opinion Mining Process."


• Hosseinkhani, S. Ibrahim, S. Chuprat, and J. H. Naniz, "Web crime mining by means of data mining techniques," Research Journal of Applied Sciences, Engineering and Technology, vol. 7, pp. 2027-2032, 2014.


• Leung, K. Lee, J. Wang, E. Y. Ng, H. L. Chan, S. K. Tsui, et al., "Data mining on dna sequences of hepatitis b virus," IEEE/ACM transactions on computational biology and bioinformatics, vol. 8, pp. 428-440, 2009.


• Guru, A. Dahiya, and N. Rajpal, "Decision support system for heart disease diagnosis using neural network," Delhi Business Review, vol. 8, pp. 99-101, 2007.


• Colombet, A. Ruelland, G. Chatellier, F. Gueyffier, P. Degoulet, and M.-C. Jaulent, "Models to predict cardiovascular risk: comparison of CART, multilayer perceptron and logistic regression," in Proceedings of the AMIA Symposium, 2000, p. 156.


• KR and A. UM, "Ethical and legal issues for medical data mining," international Journal of Computer Applications, vol. 1, p. 7, 2010.


• Kantardzic, Data mining: concepts, models, methods, and algorithms: John Wiley & Sons, 2011.


• Chen and T. Åstebro, "How to deal with missing categorical data: Test of a simple Bayesian method," Organizational Research Methods, vol. 6, pp. 309-327, 2003.


• Anbarasi, E. Anupriya, and N. Iyengar, "Enhanced prediction of heart disease with feature subset selection using genetic algorithm," International Journal of Engineering Science and Technology, vol. 2, pp. 5370-5376, 2010.


• Hosseinkhani, H. Taherdoost, and S. Keikhaee, "ANTON framework based on semantic focused crawler to support web crime mining using SVM," Annals of Data Science, vol. 8, pp. 227-240, 2021.