Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort

  1. Aldraimli, M.
  2. Osman, S.
  3. Grishchuck, D.
  4. Ingram, S.
  5. Lyon, R.
  6. Mistry, A.
  7. Oliveira, J.
  8. Samuel, R.
  9. Shelley, L.E.A.
  10. Soria, D.
  11. Dwek, M.V.
  12. Aguado-Barrera, M.E.
  13. Azria, D.
  14. Chang-Claude, J.
  15. Dunning, A.
  16. Giraldo, A.
  17. Green, S.
  18. Gutiérrez-Enríquez, S.
  19. Herskind, C.
  20. van Hulle, H.
  21. Lambrecht, M.
  22. Lozza, L.
  23. Rancati, T.
  24. Reyes, V.
  25. Rosenstein, B.S.
  26. de Ruysscher, D.
  27. de Santis, M.C.
  28. Seibold, P.
  29. Sperk, E.
  30. Symonds, R.P.
  31. Stobart, H.
  32. Taboada-Valadares, B.
  33. Talbot, C.J.
  34. Vakaet, V.J.L.
  35. Vega, A.
  36. Veldeman, L.
  37. Veldwijk, M.R.
  38. Webb, A.
  39. Weltens, C.
  40. West, C.M.
  41. Chaussalet, T.J.
  42. Rattay, T.
  43. Show all authors +
Journal:
Advances in Radiation Oncology

ISSN: 2452-1094

Year of publication: 2022

Volume: 7

Issue: 3

Type: Article

DOI: 10.1016/J.ADRO.2021.100890 GOOGLE SCHOLAR lock_openOpen access editor
Data source: Scopus