一种用于辅助皮质发育畸形医学诊断的模糊系统。
A fuzzy system for helping medical diagnosis of malformations of cortical development.
作者信息
Alayón Silvia, Robertson Richard, Warfield Simon K, Ruiz-Alzola Juan
机构信息
Department of Ingeniería de Sistemas y Automática, y Arquitectura y Tecnología de Computadores, University of La Laguna, C/Astrofísico Sánchez, Ed. de Física y Matemáticas, La Laguna, S/C de Tenerife, CP 38200, Spain.
出版信息
J Biomed Inform. 2007 Jun;40(3):221-35. doi: 10.1016/j.jbi.2006.11.002. Epub 2006 Nov 18.
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.
大脑皮质畸形被认为是发育迟缓、神经功能缺损、智力障碍和癫痫的常见病因。目前，大脑皮质畸形的诊断基于对大脑灰质和深部白质神经影像学特征的主观解读。尚无辅助观察者诊断皮质畸形的自动化系统。本文提出一种基于模糊规则的系统来解决这一问题。该系统收集有关皮质畸形的现有专家知识，并协助医学观察者做出正确诊断。此外，该系统还能研究参与决策的各种因素的影响。通过将自动诊断算法与因皮质组织异常导致的各种畸形的已知病例实例进行比较，对该系统进行了评估。本文通过与已发表病例进行比较对该系统进行了详尽评估，并进行了ROC分析。
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