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The case focuses on UW Hospital's approach to improve the accuracy of breast cancer detection using machine learning. Researchers at the University of Wisconsin assembled a unique data set comprising 569 examples of breast cancer biopsies to train a classification model (e.g., logistic regression or classification tree) for breast cancer detection.
The case can be used in advanced business analytics and machine learning courses to illustrate how predictive models operate in the health care industry. The case can be used to teach technical aspects of machine learning and, in addition, discuss the managerial and ethical implications of using advanced analytics in health care.