Predicting burnout in radiology nurses: an interpretable machine learning model developed and externally validated in a multi-center study
- DOI
- 10.3389/fpubh.2026.1914779
- Published
- 2026-08-11
- Container
- Frontiers in Public Health
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fpubh.2026.1914779,
title = {Predicting burnout in radiology nurses: an interpretable machine learning model developed and externally validated in a multi-center study},
author = {Linlin Guo and Qian Zhang and Luxin Sun and Peiyao Hu and Zhaorui Wang and Jianhua Gu and Qian Sun and Youfu He},
year = {2026},
journal = {Frontiers in Public Health},
doi = {10.3389/fpubh.2026.1914779},
url = {https://doi.org/10.3389/fpubh.2026.1914779}
}RIS
TY - JOUR TI - Predicting burnout in radiology nurses: an interpretable machine learning model developed and externally validated in a multi-center study AU - Linlin Guo AU - Qian Zhang AU - Luxin Sun AU - Peiyao Hu AU - Zhaorui Wang AU - Jianhua Gu AU - Qian Sun AU - Youfu He PY - 2026 JO - Frontiers in Public Health DO - 10.3389/fpubh.2026.1914779 UR - https://doi.org/10.3389/fpubh.2026.1914779 ER -
APA
Guo, L., Zhang, Q., Sun, L., Hu, P., Wang, Z., Gu, J., Sun, Q., & He, Y. (2026). Predicting burnout in radiology nurses: an interpretable machine learning model developed and externally validated in a multi-center study. Frontiers in Public Health. https://doi.org/10.3389/fpubh.2026.1914779
Source records
- crossref · retrieved 2026-09-26T17:07:31.268Z