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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 knowlege building, an automatic knowledge-integration process, based on Darwin's theory of natural selection, integrates knowledge derived from knowledge-acquisition tools and machinelearning methods to construct an initial knowledge base, thus eliminating a major bottleneck in developing adoi:10.1016/s0957-4174(96)00050-4 fatcat:wbbetldhvzdavo5cm56kmabgwi