標題: Self-integrating knowledge-based brain tumor diagnostic system
作者: Wang, CH
Hong, TP
Tseng, SS
資訊工程學系
Department of Computer Science
公開日期: 1996
摘要: In this paper we present a self-integrating knowledge-based expert system for brain tumor diagnosis. The system we propose comprises knowledge building, knowledge inference and knowledge refinement. During knowledge building, an automatic knowledge-integration process, based on Darwin's theory of natural selection, integrates knowledge derived from knowledge-acquisition tools and machine-learning methods to construct an initial knowledge base, thus eliminating a major bottleneck in developing a brain tumor diagnostic system. During the knowledge inference process, art inference engine exploits rules in the knowledge base to help diagnosticians determine brain tumor etiologies according to computer tomography pictures. And, a simple knowledge refinement method is proposed to modify the existing knowledge base during inference, which dramatically improves the accuracy of the derived rules. The performance of the brain tumor diagnostic system has been evaluated on actual brain tumor cases. Copyright (C) 1996 Elsevier Science Ltd
URI: http://hdl.handle.net/11536/1559
http://dx.doi.org/10.1016/S0957-4174(96)00050-4
ISSN: 0957-4174
DOI: 10.1016/S0957-4174(96)00050-4
期刊: EXPERT SYSTEMS WITH APPLICATIONS
Volume: 11
Issue: 3
起始頁: 351
結束頁: 360
顯示於類別:期刊論文


文件中的檔案:

  1. A1996VV58800010.pdf