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

  1. Micó, V.
  2. San-Cristobal, R.
  3. Martín, R.
  4. Martínez-González, M.A.
  5. Salas-Salvadó, J.
  6. Corella, D.
  7. Fitó, M.
  8. Alonso-Gómez, A.M.
  9. Wärnberg, J.
  10. Vioque, J.
  11. Romaguera, D.
  12. López-Miranda, J.
  13. Estruch, R.
  14. Tinahones, F.J.
  15. Lapetra, J.
  16. Serra-Majem, J.L.
  17. Bueno-Cavanillas, A.
  18. Tur, J.A.
  19. Martín Sánchez, V.
  20. Pintó, X.
  21. Delgado-Rodríguez, M.
  22. Matía-Martín, P.
  23. Vidal, J.
  24. Vázquez, C.
  25. García-Arellano, A.
  26. Pertusa-Martinez, S.
  27. Chaplin, A.
  28. Garcia-Rios, A.
  29. Muñoz Bravo, C.
  30. Schröder, H.
  31. Babio, N.
  32. Sorli, J.V.
  33. Gonzalez, J.I.
  34. Martinez-Urbistondo, D.
  35. Toledo, E.
  36. Bullón, V.
  37. Ruiz-Canela, M.
  38. Portillo, M.P.
  39. Macías-González, M.
  40. Perez-Diaz-del-Campo, N.
  41. García-Gavilán, J.
  42. Daimiel, L.
  43. Martínez, J.A.
  44. Show all authors +
Journal:
Frontiers in Endocrinology

ISSN: 1664-2392

Year of publication: 2022

Volume: 13

Type: Article

DOI: 10.3389/FENDO.2022.936956 GOOGLE SCHOLAR lock_openOpen access editor

Sustainable development goals

Data source: Scopus