Machine Learning Approaches to Breast Cancer Diagnosis and Treatment Response Prediction

@inproceedings{PlaneyMachineLA,
  title={Machine Learning Approaches to Breast Cancer Diagnosis and Treatment Response Prediction},
  author={Katie RoseMary Planey}
}
Given the disease severity and well-publicized philanthropic efforts concerning breast cancer, it is not a new arena for medical researchers, computational or otherwise. The goal in most breast cancer classification problems is to determine whether a patient's lesion is malignant or benign. Machine learning has been successfully applied to this problem in recent years; for example, a group in Turkey reported higher than 99% accuracy for SVM classification on the widely used Wisconsin University… CONTINUE READING