Machine learning identifies metabolic dysfunction associated steatotic liver disease in patients with diabetes mellitus.

Katarzyna Nabrdalik Hanna Kwiendacz Krzysztof Irlik Mirela Hendel Karolina Drożdż Agata M Wijata Jakub Nalepa Oliwia JanotaWiktoria WójcikJanusz GumprechtGregory Y H Lip

Published in: The Journal of clinical endocrinology and metabolism (2024)

A ML approach demonstrated high performance in identifying MASLD in patients with DM. This approach may facilitate better risk stratification and cardiovascular risk prevention strategies for high-risk patients with DM at risk of MASLD.

Keyphrases

machine learning
glycemic control
genome wide
oxidative stress
type diabetes
artificial intelligence
big data
gene expression
weight loss