Breast Cancer Prediction Using Ensemble Techniques
G. Manikandan, B. Karthikeyan, Preetha Rajendiran, R Harish, T. Prathyusha, V. Sethu · Indian Journal of Public Health Research & Development · 2019
One of the most dangerous types of cancer affecting women across the world happens to be breast cancer. As per clinical experts, detecting this cancer in its first stage is crucial in saving lives. The variables like sample code number, clump thickness, uniformity of cell size, uniformity of cell shape etc., are some of the important risk factors providing information, allowing identification of the recurrence of breast cancer and cure it in the earliest stages.