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...

Полное описание

Сохранить в:
Библиографические подробности
Главные авторы: 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
Формат: Artigo
Язык:Inglês
Опубликовано: Nature Portfolio 2022-05-01
Серии:Scientific Reports
Online-ссылка:https://doi.org/10.1038/s41598-022-12107-6
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

Схожие документы