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 biological...

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Detalles Bibliográficos
Autores principales: Otero Sanchez, Lukas, Zhan, Clara-Yongxiang, Gomes da Silveira Cauduro, Carolina, Crenier, Laurent, Njimi, Hassane, Englebert, Gael, Putignano, Antonella, Lepida, Antonia, Degré, Delphine, Boon, Nathalie, Gustot, Thierry, Deltenre, Pierre, Marot, Astrid, Devière, Jacques, Moreno, Christophe, Cnop, Miriam, Trépo, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10339249/
https://www.ncbi.nlm.nih.gov/pubmed/37456681
http://dx.doi.org/10.1016/j.jhepr.2023.100791

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10339249/
https://www.ncbi.nlm.nih.gov/pubmed/37456681
http://dx.doi.org/10.1016/j.jhepr.2023.100791

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