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Early diagnosis of Breast Cancer is significantly important to treat the disease easily therefore it is necessary to develop techniques that can help physicians to get accurate diagnosis. This study suggests a hybrid classification algorithm which is based upon Genetic Algorithm (GA) and k Nearest neighbor algorithm (kNN). GA algorithm has been used for its primary purpose as an optimization technique...
In this paper, an algorithm is presented for extracting fuzzy rules from the Breast Cancer dataset. To extract fuzzy rules, an imitation based evolutionary algorithm is used called Krill Herd (KH). The KH algorithm is converted to a binary algorithm here, and is used for the classification problem with innovation, named Binary Krill Herd-based Fuzzy Rule Miner (BKH-FRM). Choosing the best krill and...
Breast cancer prevails as one of the infamous deathly diseases among women worldwide. Early detection and treatment of breast cancer can increase the survival rate of patients. Presently, the method of diagnosis depends on the human experiences. The method is time-consuming, subjected to human error and cause unnecessary burden to radiologists. This paper introduces an automatic breast cancer diagnosis...
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