Integrated statistical and machine learning analysis provides insight into key influencing symptoms for distinguishing early-onset type 2 diabetes.

Published in: Chronic diseases and translational medicine (2022)

The proposed methodology can rapidly predict early-onset type 2 diabetes with high confidence while providing valuable insight into the key influential features involved in such predictions.

Keyphrases

early onset
type diabetes
late onset
machine learning
glycemic control
cardiovascular disease
insulin resistance
artificial intelligence
metabolic syndrome
deep learning
depressive symptoms
adipose tissue
data analysis