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Trend Analysis of Breast Cancer Stages using Supervised Machine Learning Algorithm

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.9, No. 3)

Publication Date:

Authors : ; ; ; ;

Page : 230-235

Keywords : Data set; prediction; Graph Analysis; supervised machine learning algorithm; historical report;

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Breast cancer is one of the common forms of cancer among women. Breast cancer mostly affects women's only. Breast cancer is the second leading cancer that cause to death. In very few rare case men can be affected by breast cancer representing the majority of new breast cancer cases and cancer-related deaths according to global statistics, making it a most important human health problem in today's society. Women's are affected by breast cancer due to the growth in cells inside the beast. Either it can be left breast or right breast. In this paper we analyze the past breast cancer data to know how many peoples are affected by this breast cancer in the range of year 1990 to 2017. Here we will visualize graph analysis to show how breast cancer was affecting people. First one is based on time, second one is based on age group and the third one is based on tumor size. Here we analyze the breast cancer deaths based on the information in the data set. Data cleaning, data validation, data preprocessing will be done on the entire data set. Here we are using supervised machine learning algorithm for analyzing the historical report to predict the breast cancer.

Last modified: 2020-04-06 23:53:42