Machine Learning Models for Prediction of Diabetic Microvascular Complications.

Sarah KanbourCatharine HarrisBenjamin LalaniRisa M WolfHugo FitipaldiMaria F GomezNestoras Nicolas Mathioudakis

Published in: Journal of diabetes science and technology (2024)

There is growing global interest in using ML for predicting diabetic microvascular complications. Research on DKD is the most advanced in terms of publication volume and overall prediction performance. Both DR and DN require more research. External validation and adherence to recommended guidelines are crucial.

Keyphrases

machine learning
type diabetes
wound healing
risk factors
artificial intelligence
deep learning
metabolic syndrome
adipose tissue
insulin resistance