Learning Rich Geographical Representations: Predicting Colorectal Cancer Survival in the State of Iowa

Michael T. Lash, Yuqi Sun, Xun Zhou +2

Neural networks are capable of learning rich, nonlinear feature representations shown to be beneficial in many predictive tasks. In this work, we use these models to explore the us…