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Adaptive Neuro-Fuzzy Inference System for Classihcation of Urodynamic Test

by Mohanad A.deaf, Mohamed A.a.eldosoky
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 16
Year of Publication: 2015
Authors: Mohanad A.deaf, Mohamed A.a.eldosoky
10.5120/20832-3500

Mohanad A.deaf, Mohamed A.a.eldosoky . Adaptive Neuro-Fuzzy Inference System for Classihcation of Urodynamic Test. International Journal of Computer Applications. 118, 16 ( May 2015), 31-34. DOI=10.5120/20832-3500

@article{ 10.5120/20832-3500,
author = { Mohanad A.deaf, Mohamed A.a.eldosoky },
title = { Adaptive Neuro-Fuzzy Inference System for Classihcation of Urodynamic Test },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 16 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 31-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number16/20832-3500/ },
doi = { 10.5120/20832-3500 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:01:54.909286+05:30
%A Mohanad A.deaf
%A Mohamed A.a.eldosoky
%T Adaptive Neuro-Fuzzy Inference System for Classihcation of Urodynamic Test
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 16
%P 31-34
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Urodynamic test is a method that assesses how the bladder and urethra are performing their functions of storing and releasing of the urine. The aim of this paper is to develop an approach for classifying of Urodynamic result to normal and abnormal value using adaptive neuro fuzzy inference system. The data of Urodynamic were obtained from the Institute of Experimental Clinical Research. Eight Urodynamic Components are used as input for the prediction model. Simulations were run in Matlab. The simulation results demonstrate that the model successfully to classify the Urodynamic Components to normal and abnormal values with an accuracy rate of 97. 30%.

References
  1. F. Schmidt, P. Shin, T. M. Jorgensen, J. C. Djurhuus, and C. E. Constantinou, "Urodynamic patterns of normal male micturition: influence of water consumption on urine production and detrusor function," J. Urol. , vol. 168, pp. 1458–1463, 2002.
  2. G. A. Van Koeveringe, B. Vahabi, P. H. D. K. E. Andersson, and P. H. D. R. Kirschner-herrmans, "Detrusor Underactivity?: A Plea for New Approaches to a Common Bladder Dysfunction," Neurourol. Urodyn. , vol. 728, no. June, pp. 723–728, 2011.
  3. RA. Hosein and D. J. Griffiths. Computer simulation of the neural control of bladder and urethra. Neurourology and Urodynamics, 9:601~618, 1990.
  4. G. Rutishauser and P. Graber. Normal micturition. In W. Lutzeyer and H. Melchoir, editors, Urodynamics, upper and lower urinary tract. , pages 199-203. Springer-Verlag, Berlin, Heidelberg, New York, 1973.
  5. "Urodynamic Patterns of Normal Male Micturition: Influence of Water Consumption on Urine Production and Detrusor Function", Schmidt, Shin, Jorgensen, Djurhuus and Constantinou J. Urol. 168: 1458-1463 (2002)
  6. "Urodynamic Model of the Lower Urinary Tract", Pay, Chamizo, Pic and Pérez Concurrent Systems Engineering Series 54: 123-128 (1999)
  7. "A Mathematical Micturition Model to Restore Simple Flow Recordings in Healthy and Symptomatic Individuals and Enhance Uroflow Interpretation", Valentini, Besson, Nelson and Zimmern Neurourol. Urodyn. 19: 153-176 (2000)
  8. "Modelized Analysis of Pressure-Flow studies of Patients With Lower Urinary Tract Symptoms Due to Benign Prostatic Enlargement", Valentini, Zimmern, Besson and Nelson Neurourol. Urodyn. 22: 45-53 ,2003
  9. "Finite Element Models – A Template for Future Urodynamics: Comparison of Different Computer Models of the Neural Control System of the Lower Urinary Tract", Petros Neurourol. Urodynam. 19: 289-310 (2000)
  10. Opeyemi, O. , Justice, E. O. , Development of Neuro-fuzzy System for Early Prediction of Heart Attack, Information Technology and Computer Science, Vol:9, pp. 22-28, 2012.
  11. Askerbeyli. I &Aybike, F. , Effects of fuzzy logic methods over ATM networks, International Journal of Research and Reviews in Applied Sciences, Vol. 9, pp. 295-305, 2011.
  12. W. Fletcher, F. T. Smith, and C. Fry, "A Computer Simulation of Micturition," London, 2005.
  13. Y. Z. Jafri, A. Waseem, L. Kamal, S. M. Raza, and M. Sami, "Chaotic time series prediction and Mackey-Glass simulation with fuzzy logic," Int. J. Phys. Sci. , vol. 7, no. 17, pp. 2596–2606, Apr. 2012.
  14. Allouche Moez, Souissi Mansour, Chaabane Mohamed and Mehdi Driss, "Takagi-Sugeno Fuzzy Control of Induction Motor", Proc. Int. Journal of Electrical and Electronics Engg. , Vol. 2, Issue 1, 2009.
  15. F. -y. Su, Z. Wen, "Application of fuzzy control technology in temperature setting of regenerative rotary reheating furnace", "IEEE/FSKD", Vol. 3, pp. 1205-1208, Aug. 2010.
  16. D. Su, K. Ren, J. Luo, C. He, L. Wang, X. Zhang, "Programmed and simulation of the fuzzy control list in fuzzy control", "IEEE/WCICA", pp. 1935-1940, July 2010.
  17. H. Chung, J. Lee, S. Joe, D. Chung, S. Kim, M. Chung, Application of fuzzy PID controller for stabilization of power system", "IEEE/FUZZY", Vol. 3, pp. 1729-1733, Seoul, 1999.
Index Terms

Computer Science
Information Sciences

Keywords

Adaptive neuro-fuzzy inference system (ANFIS) ANFIS Classifier Urodynamic testing (UDS).

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