Identifying patients at increased risk of hypoglycaemia in primary care: Development of a machine learning-based screening tool.

Using demographic and medication data, a model for identifying patients at increased risk of hypoglycaemia was developed using machine learning. This model can be used as a tool in primary care to screen for patients with T2D who may need additional attention to prevent or reduce hypoglycaemic events.