TY  - JOUR
AU  - Mico, Victor
AU  - San-Cristobal, Rodrigo
AU  - Martin, Roberto
AU  - Martinez-Gonzalez, Miguel Angel
AU  - Salas-Salvado, Jordi
AU  - Corella, Dolores
AU  - Fito, Montserrat
AU  - Alonso-Gomez, Angel M
AU  - Wärnberg, Julia
AU  - Vioque, Jesus
AU  - Romaguera, Dora
AU  - Lopez-Miranda, Jose
AU  - Estruch, Ramon
AU  - Tinahones, Francisco J
AU  - Lapetra, Jose
AU  - Serra-Majem, J Luis
AU  - Bueno-Cavanillas, Aurora
AU  - Tur, Josep A
AU  - Martin Sanchez, Vicente
AU  - Pinto, Xavier
AU  - Delgado-Rodriguez, Miguel
AU  - Matia-Martin, Pilar
AU  - Vidal, Josep
AU  - Vazquez, Clotilde
AU  - Garcia-Arellano, Ana
AU  - Pertusa-Martinez, Salvador
AU  - Chaplin, Alice
AU  - Garcia-Rios, Antonio
AU  - Muñoz Bravo, Carlos
AU  - Schröder, Helmut
AU  - Babio, Nancy
AU  - Sorli, Jose V
AU  - Gonzalez, Jose I
AU  - Martinez-Urbistondo, Diego
AU  - Toledo, Estefania
AU  - Bullón, Vanessa
AU  - Ruiz-Canela, Miguel
AU  - Portillo, Maria Puy-
AU  - Macias-Gonzalez, Manuel
AU  - Perez-Diaz-Del-Campo, Nuria
AU  - Garcia-Gavilan, Jesus
AU  - Daimiel, Lidia
AU  - Martinez, J Alfredo
PY  - 2022
DO  - 10.3389/fendo.2022.936956
SN  - 1664-2392
UR  - http://hdl.handle.net/10668/20567
T2  - Frontiers in endocrinology
AB  - 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...
LA  - en
PB  - Frontiers Research Foundation
KW  - Biomarkers
KW  - Cluster
KW  - Dyslipidemia
KW  - Glucose disorders
KW  - Hepatic enzymes
KW  - Metabolic syndrome
KW  - Blood glucose
KW  - Cholesterol
KW  - Cluster analysis
KW  - Dietary proteins
KW  - Eating
KW  - Fatty acids, unsaturated
KW  - Humans
KW  - Liver
KW  - Machine learning
KW  - Metabolic syndrome
TI  - Morbid liver manifestations are intrinsically bound to metabolic syndrome and nutrient intake based on a machine-learning cluster analysis.
TY  - research article
VL  - 13
ER  -