Chapter 3: Prediction of breast cancer diagnosis using random forest classifier
Pawan Whig1, Shama Kouser2, Ashima Bhatnagar Bhatia1, and Rahul Reddy Nadikattu3 1Vivekananda Institute of Professional Studies, New Delhi, India 2Department of Computer Science, Jazan University, Saudi Arabia 3University of the Cumberland, Williamsburg, KY, United States
Abstract
Breast cancer is one of the most terrifying diseases and a leading cause of mortality in women. Late discovery of breast cancer may substantially diminish survival chances; as a remedy, the automatic disease detection system assists the medical sector in diagnosing and analyzing, providing quick reaction, dependability, efficacy, and lowering the risk of death. In this study, we ...
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