Ethical Aspects of Work Disability Risk Prediction Using Machine Learning-Reference-Cited by-同舟云学术

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Ethical Aspects of Work Disability Risk Prediction Using Machine Learning

Published:2023 Issue: Volume: Page:499-509
ISSN:2367-3370
Container-title:Intelligent Sustainable Systems
language:
Short-container-title:

Author:

Saarela Katja,Huhta-Koivisto Vili,Nurminen Jukka K.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-7660-5_43

Reference35 articles.

1. OECD: Sickness, disability and work: breaking the barriers. OECD Publishing, Paris (2010)

2. Airaksinen, J., Jokela, M., Virtanen, M., Oksanen, T., Pentti, J., Vaahtera, J., Koskenvuo, M., Kawachi, I., Batty, D. G., Kivimäki, M.: Development and validation of a risk prediction model for work disability: multicohort study. Sci. Report 7(13578) (2017)

3. Salonen, L., Blomgren, J., Laaksonen, M.: From long-term sickness absence to disability retirement: diagnostic and occupational class differences within the working-age Finnish population. BMC Public Health 20(1), 1–11 (2020)

4. Salonen, L., Alexanderson, K., Rugulies, R. et al.: Combinations of job demands and job control and future trajectories of sickness absence and disability pension an 11-year follow-up of two million employees in Sweden. J. Occup. Environ. Med. 62(10), 795–802 (2020)

5. Bethge, M., Spanier, K., Köhn, S. et al.: Self-reported work ability predicts health-related exit and absence from work, work participation, and death: longitudinal findings from a sample of German employees. Int. Arch. Occup. Environ. Health (2020)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Work Disability Risk Prediction Using Machine Learning;Current and Future Trends in Health and Medical Informatics;2023

2. Explainability of Machine Learning in Work Disability Risk Prediction;Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23);2023

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