Machine learning for non‐invasive sensing of hypoglycaemia while driving in people with diabetes

Our findings suggest that an ML approach based on CAN and ET data, exclusively, enables detection of hypoglycaemia while driving. This provides a promising concept for alternative and non-invasive detection of hypoglycaemia.