TY  - GEN 
AU  - Micó, Víctor
AU  - Bueno Cavanillas, Aurora
PY  - 2022
UR  - https://hdl.handle.net/10481/78406
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  - eng
PB  - Frontiers
KW  - Hepatic enzymes
KW  - Metabolic syndrome
KW  - Cluster
KW  - Biomarkers
KW  - Glucose disorders
KW  - Dyslipidemia
TI  - Morbid liver manifestations are intrinsically bound to metabolic syndrome and nutrient intake based on a machine-learning cluster analysis
DO  - 10.3389/fendo.2022.936956
ER  -