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Detection of Breast-Cancer by Logistic Regression Using Machine Learning


Authors : Juhi Seth, Vishal Srivastava

Volume/Issue : Volume 5 - 2020, Issue 5 - May


Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/2Tq0LVt


Abstract : Cancer is one of the major leading problems in the world. Around millions of people are being infected with cancer. There is a large number of cancer patients in this world. Cancer is a group of various diseases involving abnormal cell clustering around a region which can further increase to other body parts rapidly. These can lead to tumors, which further doesn’t spread in body. Pathologists selects a list of genetic variations from the area they have to analyze. After a huge span of time of detecting the piece or structure and analyzing the classes, the model is developed for predicting the cancer patients. In this paper, logistic regression model is used on the datasets to examine the possibility of the stages of the cancer.

Keywords : Breast-cancer, genetic classes, variations, Logistic Regression.

Cancer is one of the major leading problems in the world. Around millions of people are being infected with cancer. There is a large number of cancer patients in this world. Cancer is a group of various diseases involving abnormal cell clustering around a region which can further increase to other body parts rapidly. These can lead to tumors, which further doesn’t spread in body. Pathologists selects a list of genetic variations from the area they have to analyze. After a huge span of time of detecting the piece or structure and analyzing the classes, the model is developed for predicting the cancer patients. In this paper, logistic regression model is used on the datasets to examine the possibility of the stages of the cancer.

Keywords : Breast-cancer, genetic classes, variations, Logistic Regression.

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