Poor glycemic control in patients with type 2 diabetes can be predicted from patient information systems with the help of machine learning. ScienceDaily . Retrieved June 2, 2025 from www ...

IBM Watson Health also outlined its prediction model, which was trained on anonymized Guardian Connect user data. The machine learning models had 90% accuracy in predicting hypoglycemic events in ...

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 ...

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 from Finland finds. The most important factors ...