Work-related overexertion injuries in cleaning occupations: an exploration of the factors to predict the days of absence by means of machine learning methodologies
Fecha de publicación:
2022
Versión del editor:
Citación:
Applied Ergonomics, 105 (2022); doi:10.1016/j.apergo.2022.103847
ISSN:
Notas Locales:
OA ATUO22
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