Application of Machine Learning in Classification and Prediction of Breast Cancer

  • Pavan N. Kunchur
  • Vidyadheesh Pandurangi
  • Khasgatesh Hiremath
  • Mallikarjun Kolar
Keywords: component; formatting; style; styling; insert (key words)

Abstract

Cancer misdiagnosis is extremely common. We attempt to build different machine learning models that can predict occurrences of cancer traits in a patients. Being said that cancer is often misdiagnosed, when it comes to cancer, spotting the disease earlier can quite literally mean the difference between life and death. Predictive models obtained by using machine algorithms may be a key in such cases. This can be used by any medical institutes for faster, economical and accurate cancer diagnosis. Machine learning incorporates varieties of statistical, probabilistic and optimization techniques that allow computers to “learn” from past examples and to detect hard-to-diagnosed patterns from massive, noisy or complex datasets This project allows us make fast, real-time and accurate diagnosis and prediction of breast cancer. The software uses support vector machine algorithm to do the prediction and diagnosis of breast cancer. The simplicity and almost accurate results for support vector machine algorithm is very suitable for implementation.

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Published
2020-03-26
How to Cite
Kunchur, P. N., Pandurangi, V., Hiremath, K., & Kolar, M. (2020). Application of Machine Learning in Classification and Prediction of Breast Cancer. Asian Journal For Convergence In Technology (AJCT), 5(3), 97-101. Retrieved from http://www.asianssr.org/index.php/ajct/article/view/928