Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47440
Title: A fuzzy system for helping medical diagnosis of malformations of cortical development
Authors: Alayón, Silvia
Robertson, Richard
Warfield, Simon K.
Ruiz-Alzola, Juan 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Artificial Neural Networks
Classification
Polymicrogyria
Cortex
Sets
Issue Date: 2007
Publisher: 1532-0464
Journal: Journal of Biomedical Informatics 
Abstract: Malformations of the cerebral cortex are recognized as a common cause of developmental delay, neurological deficits, mental retardation and epilepsy. Currently, the diagnosis of cerebral cortical malformations is based on a subjective interpretation of neuroimaging characteristics of the cerebral gray matter and underlying white matter. There is no automated system for aiding the observer in making the diagnosis of a cortical malformation. In this paper a fuzzy rule-based system is proposed as a solution for this problem. The system collects the available expert knowledge about cortical malformations and assists the medical observer in arriving at a correct diagnosis. Moreover, the system allows the study of the influence of the various factors that take part in the decision. The evaluation of the system has been carried out by comparing the automated diagnostic algorithm with known case examples of various malformations due to abnormal cortical organization. An exhaustive evaluation of the system by comparison with published cases and a ROC analysis is presented in the paper. (C) 2006 Elsevier Inc. All rights reserved.
URI: http://hdl.handle.net/10553/47440
ISSN: 1532-0464
DOI: 10.1016/j.jbi.2006.11.002
Source: Journal of Biomedical Informatics[ISSN 1532-0464],v. 40, p. 221-235
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