A Breast Cancer Diagnosis System using Hybrid Case- based Approach
作者： Ibrahim F. Moawad , Dina A. Sharaf-el Deen , M. E. Khalifa
DOI:
关键词: Computer science 、 Process (engineering) 、 Breast cancer 、 Data mining 、 Case based approach 、 Model-based reasoning 、 Mammography 、 Adaptation (computer science)
摘要: Nowadays, mammography is recognized as the most effective technique for breast cancer diagnosis.Case-Based Reasoning (CBR) one of important techniques used to diagnose disease. The retrieval-only CBR systems do not provide an acceptable accuracy in critical domains such medical. In this paper, a new diagnosis system using hybrid case-based approach presented improve systems. integrates reasoning and rule-based reasoning, applies adaptation process automatically by exploiting rules. Both rules are generated from case-base. After solving case, case-base expanded, both updated automatically. To evaluate proposed approach, prototype was implemented experimented cancerdisease. final results showed that increases diagnosing comparing with systems, provides reliable current
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