Supporting Sustainable Workforce Management for Worker Illness Absence Through Predictive Analytics
This study aimed to predict employee sickness absence, vital for sustainable workforce management and organizational productivity. Despite its importance, gaps exist in using advanced machine learning for this purpose. This research developed and validated models—Gradient Boosting, CatBoost, and Ran...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
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| Series: | Engineering Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4591/84/1/17 |
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