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

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

doi:10.1038/s41598-022-12107-6

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

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

Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review

Originalspråk	engelska
Artikelnummer	8055
Tidskrift	Scientific Reports
Volym	12
Nummer	1
Antal sidor	9
ISSN	2045-2322
DOI	https://doi.org/10.1038/s41598-022-12107-6
Status	Publicerad - 16 maj 2022
MoE-publikationstyp	A1 Tidskriftsartikel-refererad

Vetenskapsgrenar

3142 Folkhälsovetenskap, miljö och arbetshälsa

Åtkomst av dokument

10.1038/s41598-022-12107-6

s41598-022-12107-6Slutlig publicerad version, 3,5 MBLicens: CC BY

Citera det här

Lieslehto, J., Rantanen, N., Oksanen, L-M. A. H., Oksanen, S. A., Kivimäki, A., Paju, S., Pietiäinen, M., Lahdentausta, L., Pussinen, P., Anttila, V-J., Lehtonen, L., Lallukka, T., Geneid, A., & Sanmark, E. (2022). A machine learning approach to predict resilience and sickness absence in the healthcare workforce during the COVID-19 pandemic. Scientific Reports, 12(1), [8055]. https://doi.org/10.1038/s41598-022-12107-6

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author = "Johannes Lieslehto and Noora Rantanen and Oksanen, {Lotta-Maria A. H.} and Oksanen, {Sampo A.} and Anne Kivim{\"a}ki and Susanna Paju and Milla Pieti{\"a}inen and Laura Lahdentausta and Pirkko Pussinen and Veli-Jukka Anttila and Lasse Lehtonen and Tea Lallukka and Ahmed Geneid and Enni Sanmark",

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Lieslehto, J, Rantanen, N , Oksanen, L-MAH, Oksanen, SA, Kivimäki, A, Paju, S , Pietiäinen, M, Lahdentausta, L, Pussinen, P , Anttila, V-J , Lehtonen, L , Lallukka, T , Geneid, A & Sanmark, E 2022, 'A machine learning approach to predict resilience and sickness absence in the healthcare workforce during the COVID-19 pandemic', Scientific Reports, vol. 12, nr. 1, 8055. https://doi.org/10.1038/s41598-022-12107-6

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AU - Lieslehto, Johannes

AU - Rantanen, Noora

AU - Oksanen, Lotta-Maria A. H.

AU - Oksanen, Sampo A.

AU - Kivimäki, Anne

AU - Paju, Susanna

AU - Pietiäinen, Milla

AU - Lahdentausta, Laura

AU - Pussinen, Pirkko

AU - Anttila, Veli-Jukka

AU - Lehtonen, Lasse

AU - Lallukka, Tea

AU - Geneid, Ahmed

AU - Sanmark, Enni

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VL - 12

JO - Scientific Reports

JF - Scientific Reports

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