Adaptive Fuzzy with Enhanced Genetic Algorithm to Diagnosing Breast Cancer

Cancer is one of the significant biological diseases in the real world and the foremost cause of death worldwide. Uncontrolled growth of cells in a human body causes cancer. Especially breast cancer is the most common cancer in women. Identifies a specific cancer is a crucial task in the overgrowth of biological information. Most of the researchers challenged to diagnose, but no one can unerringly prevent this dangerous disease. Generally, the machine learning technique, genetic methods used to diagnosis the diseases. In existing, the hierarchical clustering used to diagnosis a breast cancer which is suitable for the considerable volume of data set but challenging to identify the mutant data, hard to achieve accuracy, specificity. Sensitivity, and f-measures.