Paper Key : IRJ************413
Author: Anuja Sudhakar Potdar,Riya Rajesh Pawar,Ishwari Piraso Nimbalkar,Aditi Sandip Mhetar,Monika Parit
Date Published: 18 Oct 2023
Abstract
Machine learning is increasingly being employed in cancer detection and diagnosis. Cancer prediction will become quite easy in the future and we can predict it without the need of going to the hospitals. As we can see many technologies are being used and tested in the medical field. So, by this we can say that this will make us easier in the future to detect cancer. We are testing which algorithm will give us good result among CART, SVM AND KNN. We are making a cancer prediction using machine learning, in which we are including three types of cancer they are breast cancer, lungs cancer and prostate cancer. In breast cancer, we are using SVM algorithm and for lung and prostate we are using Random forest algorithm. We are also going to detect cancer with microscopic biopsy images. It focuses on image analysis and machine learning.
DOI LINK : 10.56726/IRJMETS45301 https://www.doi.org/10.56726/IRJMETS45301