Using Artificial Intelligence and Machine Learning to predict glucose levels for managing Diabetes in Humans

Anuj Mathur

Abstract

Humans suffering with Diabetes should monitor their blood glucose levels every often and have their insulin doses adjusted to keep blood glucose levels to normalized quantities. In case of deviations, patient may suffer consequences in the form of complications to other bodily organs. Predictive models that can automatically warn patients of future changes to glucose levels in the blood will immensely help them take corrective actions and prevent a risky increase. This paper presents a scientific proposition using a common physiological model of glucose dynamics to create informational artifacts for a regression model that is modeled on specific patient information