TY - JOUR
T1 - Modelling of urological dysfunctions with neurological etiology by means of their centres involved
AU - Gil, David
AU - Johnsson, Magnus
AU - García Chamizo, Juan Manuel
AU - Paya, Antonio Soriano
AU - Fernández, Daniel Ruíz
PY - 2011/12
Y1 - 2011/12
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Artificial neural networks
KW - Decision support systems
KW - Expert systems in medicine
KW - Fuzzy logic systems
KW - Modelling biological systems
KW - Neurofuzzy
KW - Urology
U2 - 10.1016/j.asoc.2011.05.029
DO - 10.1016/j.asoc.2011.05.029
M3 - Review article
AN - SCOPUS:80053505892
SN - 1568-4946
VL - 11
SP - 4448
EP - 4457
JO - Applied Soft Computing Journal
JF - Applied Soft Computing Journal
IS - 8
ER -