Morbid liver manifestations are intrinsically bound to metabolic syndrome and nutrient intake based on a machine-learning cluster analysis

Metabolic syndrome (MetS) is one of the most important medical problems around the world. Identification of patient´s singular characteristic could help to reduce the clinical impact and facilitate individualized management. This study aimed to categorize MetS patients using phenotypical and clinica...

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Detalles Bibliográficos
Autores principales: Micó, Víctor, San-Cristobal, Rodrigo, Martín, Roberto, Martínez-González, Miguel Ángel, Salas-Salvadó, Jordi, Corella, Dolores, Fitó, Montserrat, Alonso-Gómez, Ángel M., Wärnberg, Julia, Vioque, Jesús, Romaguera, Dora, López-Miranda, José, Estruch, Ramon, Tinahones, Francisco J., Lapetra, José, Serra-Majem, J. Luís, Bueno-Cavanillas, Aurora, Tur, Josep A., Martín Sánchez, Vicente, Pintó, Xavier, Delgado-Rodríguez, Miguel, Matía-Martín, Pilar, Vidal, Josep, Vázquez, Clotilde, García-Arellano, Ana, Pertusa-Martinez, Salvador, Chaplin, Alice, Garcia-Rios, Antonio, Muñoz Bravo, Carlos, Schröder, Helmut, Babio, Nancy, Sorli, Jose V., Gonzalez, Jose I., Martinez-Urbistondo, Diego, Toledo, Estefania, Bullón, Vanessa, Ruiz-Canela, Miguel, Portillo, María Puy-, Macías-González, Manuel, Perez-Diaz-del-Campo, Nuria, García-Gavilán, Jesús, Daimiel, Lidia, Martínez, J. Alfredo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487178/
https://www.ncbi.nlm.nih.gov/pubmed/36147576
http://dx.doi.org/10.3389/fendo.2022.936956

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