Unsupervised machine learning improves risk stratification in newly diagnosed multiple myeloma: an analysis of the Spanish Myeloma Group

  1. Mosquera Orgueira, A.
  2. González Pérez, M.S.
  3. Diaz Arias, J.
  4. Rosiñol, L.
  5. Oriol, A.
  6. Teruel, A.I.
  7. Martinez Lopez, J.
  8. Palomera, L.
  9. Granell, M.
  10. Blanchard, M.J.
  11. de la Rubia, J.
  12. López de la Guia, A.
  13. Rios, R.
  14. Sureda, A.
  15. Hernandez, M.T.
  16. Bengoechea, E.
  17. Calasanz, M.J.
  18. Gutierrez, N.
  19. Martin, M.L.
  20. Blade, J.
  21. Lahuerta, J.-J.
  22. San Miguel, J.
  23. Mateos, M.V.
Aldizkaria:
Blood cancer journal

ISSN: 2044-5385

Argitalpen urtea: 2022

Alea: 12

Zenbakia: 4

Orrialdeak: 76

Mota: Artikulua

DOI: 10.1038/S41408-022-00647-Z GOOGLE SCHOLAR lock_openSarbide irekia editor

Garapen Iraunkorreko Helburuak