Data Science for Characterizing Breast Cancer

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Abstract

With the development of society, data science such as machine learning, data visualization and other issues have expanded to various scientific fields and affect our lives from various aspects. In this article, we will analyze the data of breast cancer characteristics from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia, categorize the characteristics of breast cancer by using data visualization method, and learn and predict the whole data by random forest model to obtain the most influential factors for the development and recurrence of breast cancer. It will have a positive impact on the prevention of breast cancer in the future. Also the reliability of the algorithm need to prove.

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APA

Wang, L. (2021). Data Science for Characterizing Breast Cancer. In ACM International Conference Proceeding Series (pp. 122–126). Association for Computing Machinery. https://doi.org/10.1145/3468945.3468965

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