Modelling of urological dysfunctions with neurological etiology by means of their centres involved
(2011) In Applied Soft Computing 11(8). p.4448-4457- Abstract
- Urinary incontinence is a considerable problem which is clearly reflected in the number of patients affected by it. Moreover, it is extremely difficult to obtain an accurate diagnosis as the urinary incontinence very often is related to the neurological system. In this article a model with capabilities for urological diagnosing is proposed. This model is specialized towards the diagnosis of urological dysfunctions with neurological etiology. For this reason the model explores all the neural centres involved in both the urological phases, voiding and micturition. Once these centres have been studied it becomes possible to establish a direct relation between neural centres which present an anomalous functioning and neurological dysfunctions.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1982537
- author
- Gil, David LU ; Johnsson, Magnus LU ; Garcia Chamizo, J.M ; Soriano Paya, A. and Ruiz Fernandez, D.
- organization
- publishing date
- 2011
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Fuzzy logic systems, Neurofuzzy, Artificial neural networks, Modelling biological systems, Urology, Expert systems in medicine, Artificial intelligence, Decision support systems
- in
- Applied Soft Computing
- volume
- 11
- issue
- 8
- pages
- 4448 - 4457
- publisher
- Elsevier
- external identifiers
-
- wos:000296539700002
- scopus:80053505892
- ISSN
- 1568-4946
- DOI
- 10.1016/j.asoc.2011.05.029
- language
- English
- LU publication?
- yes
- id
- 4dc3a194-6cfd-48e1-b17e-e85c1fd6f3f7 (old id 1982537)
- date added to LUP
- 2016-04-01 10:09:39
- date last changed
- 2022-01-25 20:19:55
@article{4dc3a194-6cfd-48e1-b17e-e85c1fd6f3f7, abstract = {{Urinary incontinence is a considerable problem which is clearly reflected in the number of patients affected by it. Moreover, it is extremely difficult to obtain an accurate diagnosis as the urinary incontinence very often is related to the neurological system. In this article a model with capabilities for urological diagnosing is proposed. This model is specialized towards the diagnosis of urological dysfunctions with neurological etiology. For this reason the model explores all the neural centres involved in both the urological phases, voiding and micturition. Once these centres have been studied it becomes possible to establish a direct relation between neural centres which present an anomalous functioning and neurological dysfunctions.}}, author = {{Gil, David and Johnsson, Magnus and Garcia Chamizo, J.M and Soriano Paya, A. and Ruiz Fernandez, D.}}, issn = {{1568-4946}}, keywords = {{Fuzzy logic systems; Neurofuzzy; Artificial neural networks; Modelling biological systems; Urology; Expert systems in medicine; Artificial intelligence; Decision support systems}}, language = {{eng}}, number = {{8}}, pages = {{4448--4457}}, publisher = {{Elsevier}}, series = {{Applied Soft Computing}}, title = {{Modelling of urological dysfunctions with neurological etiology by means of their centres involved}}, url = {{http://dx.doi.org/10.1016/j.asoc.2011.05.029}}, doi = {{10.1016/j.asoc.2011.05.029}}, volume = {{11}}, year = {{2011}}, }