International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 118 - Issue 16 |
Published: May 2015 |
Authors: Mohanad A.Deaf, Mohamed A.A.Eldosoky |
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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 }, year = { 2015 }, volume = { 118 }, number = { 16 }, pages = { 31-34 }, doi = { 10.5120/20832-3500 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2015 %A Mohanad A.Deaf %A Mohamed A.A.Eldosoky %T Adaptive Neuro-Fuzzy Inference System for Classihcation of Urodynamic Test%T %J International Journal of Computer Applications %V 118 %N 16 %P 31-34 %R 10.5120/20832-3500 %I Foundation of Computer Science (FCS), NY, USA
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%.