Logistic regression with the IoMT 

In this recipe, we're going to talk about using logistic regression to classify data from mammography machines. Recently, the IoMT has expanded greatly. Many devices are being worn by patients when they go home from their doctor, providing an in-home medical monitoring solution, while others are in hospitals, giving the doctors additional feedback on medical tests being run. In many cases, machine learning algorithms are able to spot diseases and issues that doctors may miss, or give them additional recommendations. In this recipe, we are going to work with a breast cancer dataset and determine whether a mammogram record is malignant or benign.