Machine learning identifies clusters of longitudinal autoantibody profiles predictive of systemic lupus erythematosus disease outcomes

  1. Choi, M.Y.
  2. Chen, I.
  3. Clarke, A.E.
  4. Fritzler, M.J.
  5. Buhler, K.A.
  6. Urowitz, M.
  7. Hanly, J.
  8. St-Pierre, Y.
  9. Gordon, C.
  10. Bae, S.-C.
  11. Romero-Diaz, J.
  12. Sanchez-Guerrero, J.
  13. Bernatsky, S.
  14. Wallace, D.J.
  15. Isenberg, D.A.
  16. Rahman, A.
  17. Merrill, J.T.
  18. Fortin, P.R.
  19. Gladman, D.D.
  20. Bruce, I.N.
  21. Petri, M.
  22. Ginzler, E.M.
  23. Dooley, M.A.
  24. Ramsey-Goldman, R.
  25. Manzi, S.
  26. Jönsen, A.
  27. Alarcón, G.S.
  28. Van Vollenhoven, R.F.
  29. Aranow, C.
  30. Mackay, M.
  31. Ruiz-Irastorza, G.
  32. Lim, S.
  33. Inanc, M.
  34. Kalunian, K.
  35. Jacobsen, Sø.
  36. Peschken, C.
  37. Kamen, D.L.
  38. Askanase, A.
  39. Buyon, J.P.
  40. Sontag, D.
  41. Costenbader, K.H.
  42. Show all authors +
Journal:
Annals of the Rheumatic Diseases

ISSN: 1468-2060 0003-4967

Year of publication: 2023

Volume: 82

Issue: 7

Pages: 927-936

Type: Article

DOI: 10.1136/ARD-2022-223808 GOOGLE SCHOLAR

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