论文信息 - Decision Support System for the Diagnosis of Urological Dysfunctions Based on Fuzzy Logic

Decision Support System for the Diagnosis of Urological Dysfunctions Based on Fuzzy Logic

In this article a fuzzy system with capabilities for urological diagnosing is proposed. This system is specialized towards the diagnosis of urological dysfunctions with neurological etiology. For this reason the system specifies all the neural centres involved in both the urological phases, voiding and micturition. The fuzzy system allows to classify every dysfunction of all patients by means of their membership functions. The results of the experiments show that the fuzzy approach allows the diagnosis of urological dysfunctions from the relationship between neural centres and their associated neurological dysfunction.

[1] L. Jiménez,et al. Neural fuzzy modeling of ethanolamine pulping of vine shoots , 2007 .

[2] Juan Manuel García Chamizo,et al. A robust model of the neuronal regulator of the lower urinary tract based on artificial neural networks , 2008, Neurocomputing.

[3] G. Holstege,et al. The central control of micturition and continence: implications for urology , 1999, BJU international.

[4] Hisham M. Haddad,et al. Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), Seoul, Korea, March 11-15, 2007 , 2007, SAC.

[5] Naoki Yoshimura,et al. Neural Control of the Lower Urinary Tract , 1997, International journal of urology : official journal of the Japanese Urological Association.

[6] C. Chute,et al. Toward a National Health Information Infrastructure: a Key Strategy for Improving Quality in Long-Term Care , 2003 .

[7] Michael B. Chancellor,et al. Atlas of Urodynamics , 1996 .

[8] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..

[9] David Gil Méndez,et al. Application of artificial neural networks in the diagnosis of urological dysfunctions , 2009, Expert Syst. Appl..

[10] Mehmet Fatih Akay,et al. Support vector machines combined with feature selection for breast cancer diagnosis , 2009, Expert Syst. Appl..

[11] Antonio Soriano Payá,et al. Embedded system for diagnosing dysfunctions in the lower urinary tract , 2007, SAC '07.