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

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 individual...

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Detalles Bibliográficos
Autores principales: Lieslehto, Johannes, Rantanen, Noora, Oksanen, Lotta-Maria A. H., Oksanen, Sampo A., Kivimäki, Anne, Paju, Susanna, Pietiäinen, Milla, Lahdentausta, Laura, Pussinen, Pirkko, Anttila, Veli-Jukka, Lehtonen, Lasse, Lallukka, Tea, Geneid, Ahmed, Sanmark, Enni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9109448/
https://www.ncbi.nlm.nih.gov/pubmed/35577884
http://dx.doi.org/10.1038/s41598-022-12107-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9109448/
https://www.ncbi.nlm.nih.gov/pubmed/35577884
http://dx.doi.org/10.1038/s41598-022-12107-6

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