Introduction to Supervised Machine Learning

Abstract

The common conception and criticism of machine learning (ML) in medicine is that it centers around a "black box," an inscrutable series of mathematical calculations that take in data and spit out predictions, lacking the pathobiological explanatory rigor to which medical researchers are accustomed. Although this is oversimplified, it is not altogether untrue. It is also not really a problem. The true place for ML in medicine is not in explanation, but in prediction.