Researchers at the University of Toronto used a machine learning model to analyze health data, collected between 2006 to 2016, of 2.1 million people living in Ontario. They found that they were able ...

Data from continuous glucose monitors can predict nerve, eye and kidney damage caused by type 1 diabetes researchers have found. That suggests doctors may be able to use data from the devices to ...

In contrast, a combined model using NIH-derived baseline risk factors and HRV performed better, with an AUC of 0.73. All three machine learning models outperformed the NIH risk assessment protocol.