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Poor glycemic control in patients with type 2 diabetes can be predicted from patient information systems with the help of machine learning

Poor glycemic control in patients with type 2 diabetes can be predicted from patient information systems with the help of machine learningThe 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 im. ....

Norra Savolax , North Karelia , Janne Martikainen , Pekka Siirtola , Gunjan Chandra , Piia Lavikainen , Finnish Diabetes Association , School Of Pharmacy , Insurance Institution Of Finland , University Of Eastern Finland , Strategic Research Council , Health Services , Intelligent Systems Group , University Of Oulu , Academy Of Finland , Kuopio University Hospital , Municipal Authority For North Karelia , Finnish Current Care Guidelines , Joint Municipal Authority , North Karelia Social , Social Insurance Institution , Statistics Finland , Eastern Finland , Intelligent Systems ,

Poor glycemic control in patients with type 2 diabetes can be predicted from patient information systems with the help of machine learning

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 fr.. ....

Norra Savolax , North Karelia , Finnish Diabetes Association , Insurance Institution Of Finland , University Of Eastern Finland , Strategic Research Council , Health Services , University Of Oulu , Academy Of Finland , Kuopio University Hospital , Municipal Authority For North Karelia , Finnish Current Care Guidelines , Joint Municipal Authority , North Karelia Social , Social Insurance Institution , Statistics Finland , Eastern Finland ,