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

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...

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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: Nature Portfolio 2022-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-12107-6

Internet

https://doi.org/10.1038/s41598-022-12107-6

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