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Modelling of urological dysfunctions with neurological etiology by means of their centres involved
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- Gil, David (author)
- University of Alicante
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- Johnsson, Magnus (author)
- Lund University,Lunds universitet,Kognitionsvetenskap,Filosofiska institutionen,Institutioner,Humanistiska och teologiska fakulteterna,Cognitive Science,Department of Philosophy,Departments,Joint Faculties of Humanities and Theology
- Garcia Chamizo, J.M (author)
- show more...
- Soriano Paya, A. (author)
- Ruiz Fernandez, D. (author)
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- (creator_code:org_t)
- Elsevier BV, 2011
- 2011
- English.
- In: Applied Soft Computing. - : Elsevier BV. - 1568-4946. ; 11:8, s. 4448-4457
- Journal article (peer-reviewed)
Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinsk bioteknologi -- Medicinsk bioteknologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Medical Biotechnology -- Medical Biotechnology (hsv//eng)
Keyword
- Fuzzy logic systems
- Neurofuzzy
- Artificial neural networks
- Modelling biological systems
- Urology
- Expert systems in medicine
- Artificial intelligence
- Decision support systems
Publication and Content Type
- art (subject category)
- ref (subject category)
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