Prediction of All-Cause Mortality Following Percutaneous Coronary Intervention in Bifurcation Lesions Using Machine Learning Algorithms

  1. Burrello, J.
  2. Gallone, G.
  3. Burrello, A.
  4. Pagliari, D.J.
  5. Ploumen, E.H.
  6. Iannaccone, M.
  7. De Luca, L.
  8. Zocca, P.
  9. Patti, G.
  10. Cerrato, E.
  11. Wojakowski, W.
  12. Venuti, G.
  13. De Filippo, O.
  14. Mattesini, A.
  15. Ryan, N.
  16. Helft, G.
  17. Muscoli, S.
  18. Kan, J.
  19. Sheiban, I.
  20. Parma, R.
  21. Trabattoni, D.
  22. Giammaria, M.
  23. Truffa, A.
  24. Piroli, F.
  25. Imori, Y.
  26. Cortese, B.
  27. Omedè, P.
  28. Conrotto, F.
  29. Chen, S.-L.
  30. Escaned, J.
  31. Buiten, R.A.
  32. Von Birgelen, C.
  33. Mulatero, P.
  34. De Ferrari, G.M.
  35. Monticone, S.
  36. D’ascenzo, F.
  37. Show all authors +
Journal:
Journal of Personalized Medicine

ISSN: 2075-4426

Year of publication: 2022

Volume: 12

Issue: 6

Type: Article

DOI: 10.3390/JPM12060990 GOOGLE SCHOLAR lock_openOpen access editor