Type 2 diabetes classification: a data-driven cluster study of the Danish Centre for Strategic Research in Type 2 Diabetes (DD2) cohort.

Diana Hedevang ChristensenSia K NicolaisenEmma AhlqvistJacob V StidsenJens Steen NielsenKurt HojlundMichael H OlsenSonia García-CalzónCharlotte LingJørgen RungbyIvan BrandslundPeter VestergaardNiels JessenTorben HansenCharlotte BrønsHenning Beck-NielsenHenrik T SørensenReimar W ThomsenAllan Vaag

Published in: BMJ open diabetes research & care (2022)

Different HOMA2-based approaches did not classify patients with T2D in a consistent manner. The T2D classes characterized by high insulin resistance/hyperinsulinemia appeared most distinct.

Keyphrases

type diabetes
insulin resistance
glycemic control
machine learning
cardiovascular disease
adipose tissue
deep learning
metabolic syndrome
high fat diet
skeletal muscle
polycystic ovary syndrome
high fat diet induced