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.
Journal:
Blood cancer journal

ISSN: 2044-5385

Year of publication: 2022

Volume: 12

Issue: 4

Pages: 76

Type: Article

DOI: 10.1038/S41408-022-00647-Z GOOGLE SCHOLAR lock_openOpen access editor

Sustainable development goals

Data source: Scopus