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- Gil, David, et al.
(author)
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Modelling of urological dysfunctions with neurological etiology by means of their centres involved
- 2011
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In: Applied Soft Computing. - : Elsevier BV. - 1568-4946. ; 11:8, s. 4448-4457
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Journal article (peer-reviewed)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.
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| 3. |
- Gil Mendez, David, et al.
(author)
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Artificial Neural Networks for Diagnoses of Dysfunctions in Urology
- 2008
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In: Proceedings of the First International Conference on Health Informatics. - 9789898111166 ; 2, s. 191-196
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Conference paper (peer-reviewed)abstract
- In this article we evaluate the work out of artificial neural networks as tools for helping and support in the medical diagnosis. In particular we compare the usability of one supervised and two unsupervised neural network architectures for medical diagnoses of lower urinary tract dysfunctions. The purpose is to develop a system that aid urologists in obtaining diagnoses, which will yield improved diagnostic accuracy and lower medical treatment costs. The clinical study has been carried out using the medical registers of patients with dysfunctions in the lower urinary tract. The current system is able to distinguish and classify dysfunctions as areflexia, hyperreflexia, obstruction of the lower urinary tract and patients free from dysfunction.
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