Machine learning for non-invasive sensing of hypoglycemia while driving in people with diabetes.

Our findings suggest that an ML approach based on CAN and ET data, exclusively, allows for detection of hypoglycemia while driving. This provides a promising concept for alternative and non-invasive detection of hypoglycemia. This article is protected by copyright. All rights reserved.