Prediction of Health-Related Leave Days among Workers in the Energy Sector by Means of Genetic Algorithms
In this research, a model is proposed for predicting the number of days absent from work due to sick or health-related leave among workers in the industry sector, according to ergonomic, social and work-related factors. It employs selected microdata from the Sixth European Working Conditions Survey...
Main Authors: | Aroa González Fuentes, Nélida M. Busto Serrano, Fernando Sánchez Lasheras, Gregorio Fidalgo Valverde, Ana Suárez Sánchez |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-05-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/13/10/2475 |
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