Electrical Impedance Of Breast’s Tissue Classification By Using Bootstrap Aggregating

Abstract

This paper presents on the classification of the electrical impedance of tissue from the breast. To analyze the risk of breast cancer by using techniques Bootstrap Aggregating due to cancer. The motivation of this work is only one important reason of a major public health problem and a common cancers cause of death. They are vigilant in the detection and treatment of breast cancer to be diagnosed in the early stages of breast cancer and treatment prior to the spread of the disease away to get a better therapeutic effect. It developed a method for detecting the operating room, including a variety of tools to detect, with a special understanding of the pathological increase. To make the guidelines for the treatment of breast cancer today have changed enough. The widgets work on this proposed new algorithm. A data set from UCI relating to the identification of the electrical impedance of the tissue box is cut from the breast with effective techniques. Bootstrap Aggregating is tested with 10-folds cross validation with 106 objects, the result is that the accuracy of 74.47%. Submitted: