A machine learning approach to predict resilience and sickness absence in the healthcare workforce during the COVID-19 pandemic

Abstract During the COVID-19 pandemic, healthcare workers (HCWs) have faced unprecedented workloads and personal health risks leading to mental disorders and surges in sickness absence. Previous work has shown that interindividual differences in psychological resilience might explain why only some i...

Descripció completa

Guardat en:
Dades bibliogràfiques
Autors principals: Johannes Lieslehto, Noora Rantanen, Lotta-Maria A. H. Oksanen, Sampo A. Oksanen, Anne Kivimäki, Susanna Paju, Milla Pietiäinen, Laura Lahdentausta, Pirkko Pussinen, Veli-Jukka Anttila, Lasse Lehtonen, Tea Lallukka, Ahmed Geneid, Enni Sanmark
Format: Artigo
Idioma:Inglês
Publicat: Nature Portfolio 2022-05-01
Col·lecció:Scientific Reports
Accés en línia:https://doi.org/10.1038/s41598-022-12107-6
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Ítems similars