Pathophysiology-based phenotyping in type 2 diabetes: A clinical classification tool.

Jacob V StidsenJan E HenriksenMichael H OlsenReimar W ThomsenJens S NielsenJørgen RungbySinna P UlrichsenKlara BerencsiJohnny A KahlertSøren G FriborgIvan BrandslundAneta A NielsenJens S ChristiansenHenrik T SørensenThomas B OlesenHenning Beck-Nielsen

Published in: Diabetes/metabolism research and reviews (2018)

Patients clinically diagnosed with type 2 diabetes are a heterogeneous group. In the future, targeted treatment based on pathophysiological characteristics rather than the current "one size fits all" approach may improve patient prognosis.

Keyphrases

type diabetes
end stage renal disease
chronic kidney disease
newly diagnosed
machine learning
peritoneal dialysis
deep learning
cancer therapy
high throughput
metabolic syndrome
skeletal muscle
patient reported outcomes
combination therapy
weight loss
replacement therapy