Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

The risk for poor glycemic control in patients with type 2 diabetes can be predicted with confidence by using machine learning methods, a new study finds. The most important factors predicting ...

For patients with type 2 diabetes or the APOL1-HR genotype, a machine learning test integrating biomarkers and electronic health record data demonstrated improved prediction of kidney failure ...

For example, by preventing hospitalizations in cases of just two widespread chronic illnesses — heart disease and diabetes — the United States could save billions of dollars a year.

The study was based on data from 3,100 people with diabetes who used Medtronic's Guardian Connect glucose monitoring hardware for at least five days. Written by Larry Dignan, Contributor June 11 ...