Development and validation of an explainable machine learning model for predicting the risk of depression among nursing interns
- DOI
- 10.21203/rs.3.rs-10920688/v1
- Published
- 2026-09-21
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- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-10920688/v1,
title = {Development and validation of an explainable machine learning model for predicting the risk of depression among nursing interns},
author = {Xia Wang and Xiang Xiao and Hongyan Chen and Shujie Meng and Yanmei Xiao and Ru Gao and Liu Lu},
year = {2026},
doi = {10.21203/rs.3.rs-10920688/v1},
url = {https://doi.org/10.21203/rs.3.rs-10920688/v1}
}RIS
TY - JOUR TI - Development and validation of an explainable machine learning model for predicting the risk of depression among nursing interns AU - Xia Wang AU - Xiang Xiao AU - Hongyan Chen AU - Shujie Meng AU - Yanmei Xiao AU - Ru Gao AU - Liu Lu PY - 2026 DO - 10.21203/rs.3.rs-10920688/v1 UR - https://doi.org/10.21203/rs.3.rs-10920688/v1 ER -
APA
Wang, X., Xiao, X., Chen, H., Meng, S., Xiao, Y., Gao, R., & Lu, L. (2026). Development and validation of an explainable machine learning model for predicting the risk of depression among nursing interns. https://doi.org/10.21203/rs.3.rs-10920688/v1
Source records
- crossref · retrieved 2026-09-26T00:42:05.357Z