AUTHOR=Mhaskar Hrushikesh N. , Pereverzyev Sergei V. , van der Walt Maria D. TITLE=A Deep Learning Approach to Diabetic Blood Glucose Prediction JOURNAL=Frontiers in Applied Mathematics and Statistics VOLUME=3 YEAR=2017 URL=https://www.frontiersin.org/journals/applied-mathematics-and-statistics/articles/10.3389/fams.2017.00014 DOI=10.3389/fams.2017.00014 ISSN=2297-4687 ABSTRACT=

We consider the question of 30-min prediction of blood glucose levels measured by continuous glucose monitoring devices, using clinical data. While most studies of this nature deal with one patient at a time, we take a certain percentage of patients in the data set as training data, and test on the remainder of the patients; i.e., the machine need not re-calibrate on the new patients in the data set. We demonstrate how deep learning can outperform shallow networks in this example. One novelty is to demonstrate how a parsimonious deep representation can be constructed using domain knowledge.