Blood Glucose Level Prediction

Adaptive Prediction of Blood Glucose Levels using Wearable Physiological Sensors

To aid in diabetes management, machine learning models will be built to predict future blood glucose levels based on wearable sensor data from commercially available fitness bands in addition to blood glucose, insulin and meal data. These models could help the over one million Americans with type 1 diabetes to anticipate and prevent blood glucose control problems before they occur. This would enhance patient safety and contribute to improved overall blood glucose control, with its associated reduction in costly complications.

Below is a visualization of the patient data used for blood glucose level prediction. The top pane shows fitness band data, including heart rate, galvanic skin response, skin temperature, and air temperature. The bottom pane displays blood glucose, insulin, and life event data.