A multi-platform approach to identify a blood-based host protein signature for distinguishing between bacterial and viral infections in febrile children (PERFORM): a multi-cohort machine learning study

  1. Jackson, H.R.
  2. Zandstra, J.
  3. Menikou, S.
  4. Hamilton, M.S.
  5. McArdle, A.J.
  6. Fischer, R.
  7. Thorne, A.M.
  8. Huang, H.
  9. Tanck, M.W.
  10. Jansen, M.H.
  11. De, T.
  12. Agyeman, P.K.A.
  13. Von Both, U.
  14. Carrol, E.D.
  15. Emonts, M.
  16. Eleftheriou, I.
  17. Van der Flier, M.
  18. Fink, C.
  19. Gloerich, J.
  20. De Groot, R.
  21. Moll, H.A.
  22. Pokorn, M.
  23. Pollard, A.J.
  24. Schlapbach, L.J.
  25. Tsolia, M.N.
  26. Usuf, E.
  27. Wright, V.J.
  28. Yeung, S.
  29. Zavadska, D.
  30. Zenz, W.
  31. Coin, L.J.M.
  32. Casals-Pascual, C.
  33. Cunnington, A.J.
  34. Martinon-Torres, F.
  35. Herberg, J.A.
  36. de Jonge, M.I.
  37. Levin, M.
  38. Kuijpers, T.W.
  39. Kaforou, M.
  40. Show all authors +
Journal:
The Lancet. Digital health

ISSN: 2589-7500

Year of publication: 2023

Volume: 5

Issue: 11

Pages: e774-e785

Type: Article

DOI: 10.1016/S2589-7500(23)00149-8 GOOGLE SCHOLAR lock_openOpen access editor
Data source: Scopus