Automated phenotyping of patients with non-alcoholic fatty liver disease reveals clinically relevant disease subtypes

Non-alcoholic fatty liver disease (NAFLD) is a complex heterogeneous disease which affects more than 20% of the population worldwide. Some subtypes of NAFLD have been clinically identified using hypothesis-driven methods. In this study, we used data mining techniques to search for subtypes in an unb...

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Detalles Bibliográficos
Autores principales: Vandromme, Maxence, Jun, Tomi, Perumalswami, Ponni, Dudley, Joel T., Branch, Andrea, Li, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043281/
https://www.ncbi.nlm.nih.gov/pubmed/31797589

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