Volume 20, Issue 54, July - December, 2023

Decoding destiny: Harnessing machine learning for breast cancer survival prediction

Aditya Sai Srinivas T, Thippanna G, David Donald A

Ashoka Women’s Engineering College, Dupadu, Andhra Pradesh, India

ABSTRACT

Breast cancer is a prevalent form of cancer that primarily affects women, although men can also be diagnosed with this disease. It ranks as the second leading cause of mortality among women worldwide. With the increasing prevalence of data-driven approaches in healthcare, the application of machine learning techniques offers a promising avenue for predicting the survival outcomes of patients with breast cancer. This article aims to provide a comprehensive overview of utilizing machine learning algorithms, implemented in Python, to predict the survival probabilities of breast cancer patients. By exploring various data pre-processing steps, feature engineering techniques and model selection strategies, this article presents a step-by-step guide for predicting breast cancer patient survival. The ultimate goal is to empower healthcare practitioners and researchers with the necessary knowledge and tools to leverage machine learning algorithms for improved prognosis and personalized treatment decisions in the context of breast cancer.

Keywords: Breast cancer, Prediction, Machine Learning (ML)

Indian Journal of Engineering, 2023, 20(54), e30ije1663

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DOI: https://doi.org/10.54905/disssi/v20i54/e30ije1663

Published: 9 July 2023