Breast Cancer Prediction with Machine Learning Support Vectro Machine Technique
DOI : 10.46335/IJIES.2024.9.3.2
Authors : Uday Patil , Rajeshwari Dhandare, Sayali Bhole, Prajwal Patil, Ashish T. Bhole
Abstract – Breast cancer has become one of the leading causes of cancer death among women due to lifestyle changes and other factors. Detecting breast cancer takes a long time with manual diagnosis, even with available diagnostic systems. Statistics from the International Agency for Research on Cancer (IARC) reveal that breast cancer has overtaken lung cancer as the most commonly diagnosed cancer in women worldwide. The overall number of cancer diagnoses has nearly doubled from 10 million in 2000 to 19.3 million in 2020. Today, one in 5 people worldwide develop cancer during their lifetime. The increasing number of women facing breast cancer is a significant issue, challenging to diagnose in the early stage. A solution requires accurate, precise, and quick diagnosis, employing the best machine learning techniques for predictive results. The system aims to change the traditional diagnostic approach and provide analytical predictions based on user inputs and database figures.
