Endometrial Cancer Individualized Scoring System (ECISS): A machine learning-based prediction model of endometrial cancer prognosis

  1. Shazly, S.A.
  2. Coronado, P.J.
  3. Yılmaz, E.
  4. Melekoglu, R.
  5. Sahin, H.
  6. Giannella, L.
  7. Ciavattini, A.
  8. Carpini, G.D.
  9. Di Giuseppe, J.
  10. Yordanov, A.
  11. Karakadieva, K.
  12. Nedelcheva, N.M.
  13. Vasileva-Slaveva, M.
  14. Alcazar, J.L.
  15. Chacon, E.
  16. Manzour, N.
  17. Vara, J.
  18. Karaman, E.
  19. Karaaslan, O.
  20. Hacıoğlu, L.
  21. Korkmaz, D.
  22. Onal, C.
  23. Knez, J.
  24. Ferrari, F.
  25. Hosni, E.M.
  26. Mahmoud, M.E.
  27. Elassall, G.M.
  28. Abdo, M.S.
  29. Mohamed, Y.I.
  30. Abdelbadie, A.S.
  31. Erakutsi egile guztiak +
Aldizkaria:
International Journal of Gynecology and Obstetrics

ISSN: 1879-3479 0020-7292

Argitalpen urtea: 2023

Alea: 161

Zenbakia: 3

Orrialdeak: 760-768

Mota: Artikulua

DOI: 10.1002/IJGO.14639 GOOGLE SCHOLAR

Garapen Iraunkorreko Helburuak