Expert System for Breast Cancer Prediction using Ensemble Learning
Rajdeep Paul, Saroj Kr. Biswas, Arpita Nath Boruah, Akhil Kumar Das, S. Reshmi, Biswajit Purkayastha · 2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON) · 2022
Breast cancer (BC) is the most frequent life-threatening illness in women, as well as the main cause of cancer mortality. Over the last two decades, BC research has made significant advances in our understanding of the disease, resulting in more effective and less toxic medicines. However, precise BC prediction is always crucial for effective therapy. Ensemble learning techniques have been used for accurate prediction of BC since the last few years. This paper also proposes an Expert System for Breast Cancer Detection (ESBCD) for better prediction of BC with machine learning analytics. The ESBCD preprocesses the BC data to impute the missing values and to remove the outliers, and then uses ensemble learning technique for classification.