Identifying most important predictors for suicidal thoughts and behaviours among healthcare workers active during the Spain COVID-19 pandemic: A machine-learning approach

  1. Alayo,I.
  2. Pujol,O.
  3. Alonso,J.
  4. Ferrer,M.
  5. Amigo,F.
  6. Portillo-Van Diest,A.
  7. Aragonès,E.
  8. Aragon Peña,A.
  9. Asúnsolo Del Barco,Á.
  10. Campos,M.
  11. Espuga,M.
  12. González-Pinto,A.
  13. Haro,J.M.
  14. López-Fresneña,N.
  15. Martínez De Salázar,A.D.
  16. Molina,J.D.
  17. Ortí-Lucas,R.M.
  18. Parellada,M.
  19. Pelayo-Terán,J.M.
  20. Forjaz,M.J.
  21. Pérez-Zapata,A.
  22. Pijoan,J.I.
  23. Plana,N.
  24. Polentinos-Castro,E.
  25. Puig,M.T.
  26. Rius,C.
  27. Sanz,F.
  28. Serra,C.
  29. Urreta-Barallobre,I.
  30. Bruffaerts,R.
  31. Vieta,E.
  32. Pérez-Solá,V.
  33. Mortier,P.
  34. Vilagut,G.
  35. Show all authors +
Journal:
Epidemiology and Psychiatric Sciences

ISSN: 2045-7979 2045-7960

Year of publication: 2025

Volume: 34

Type: Article

DOI: 10.1017/S2045796025000198 GOOGLE SCHOLAR lock_openOpen access editor