On the Predictability of non-CGM Diabetes Data for Personalized Recommendation

arXiv:1808.07380v5 Announce Type: replace-cross
Abstract: With continuous glucose monitoring (CGM), data-driven models on blood glucose prediction have been shown to be effective in related work. However, such (CGM) systems are not always available, e.g., for a patient at home. In this work, we conduct a study on 9 patients and examine the online predictability of data-driven (aka. machine learning) based models on patient-level blood glucose prediction; with measurements are taken only periodically (i.e., after several hours). To this end, we …

abstract arxiv continuous cs.cy cs.lg data data-driven diabetes home however monitoring patient patients personalized prediction recommendation stat.ml study systems type work