A machine learning-based classification of adult-onset diabetes identifies patients at risk of liver-related complications

A machine learning-based classification of adult-onset diabetes identifies patients at risk of liver-related complications

Background & aims: Diabetes mellitus is a major risk factor for fatty liver disease development and progression. A novel machine learning method identified five clusters of patients with diabetes, with different characteristics and risk of diabetic complications using six clinical and biolog...

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Bibliographic Details
Main Authors: Lukas Otero Sanchez, Clara-Yongxiang Zhan, Carolina Gomes da Silveira Cauduro, Laurent Crenier, Hassane Njimi, Gael Englebert, Antonella Putignano, Antonia Lepida, Delphine Degré, Nathalie Boon, Thierry Gustot, Pierre Deltenre, Astrid Marot, Jacques Devière, Christophe Moreno, Miriam Cnop, Eric Trépo
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:JHEP Reports
Subjects:
Liver fibrosis
Diabetes
Insulin-resistant
Clustering
Online Access:http://www.sciencedirect.com/science/article/pii/S2589555923001222

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http://www.sciencedirect.com/science/article/pii/S2589555923001222

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