Analysis of Breast Cancer in Early Stage by UsingMachine LearningAlgorithms: A Review
Jasjeet Kaur Sandhu, Amandeep Kaur, Chetna Kaushal · 2022
The goal of using Machine Learning (ML), a branch of Artificial Intelligence (AI) technology, is to increase the accuracy and efficiency of doctors' work. After skin cancer, breast cancer is the kind of cancer that affects women the most often. Breast cancer is caused by an unchecked multiplication of breast cells. According to the national cancer institute, 287,850 are the Estimated New Cases in 2022, with 15% of all new cancer cases. 43,250 will be the. Estimate deaths in 2022 in the USA. In the United States, female breast cancer accountsfor 15% of all newly diagnosed instances of cancer. An analysis of breast cancer data from 2018 in India revealed 1,62,468 fresh recorded cases and 87,090 deaths from the condition. According to the findings of the most recent research, the state of Kerala has the highest cancer incidence in all of India. This review paper will understand the various stages of Breast cancer, look at datasets and evaluate supervised and unsupervised Machine Learning (ML) algorithms to see which ones are best for early breast cancer prediction made possible by the use of machine learning or deep learning.