Interpretable machine learning for identifying cost drivers of inpatient traditional Chinese medicine services in a tertiary hospital in China
- DOI
- 10.3389/fpubh.2026.1937712
- Published
- 2026-10-21
- 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.2026.1937712,
title = {Interpretable machine learning for identifying cost drivers of inpatient traditional Chinese medicine services in a tertiary hospital in China},
author = {Xi Li and Shouyan Chen and Mei Gong and Changyang Chen and Jia Chen and Jiangping Zhang},
year = {2026},
journal = {Frontiers in Public Health},
doi = {10.3389/fpubh.2026.1937712},
url = {https://doi.org/10.3389/fpubh.2026.1937712}
}RIS
TY - JOUR TI - Interpretable machine learning for identifying cost drivers of inpatient traditional Chinese medicine services in a tertiary hospital in China AU - Xi Li AU - Shouyan Chen AU - Mei Gong AU - Changyang Chen AU - Jia Chen AU - Jiangping Zhang PY - 2026 JO - Frontiers in Public Health DO - 10.3389/fpubh.2026.1937712 UR - https://doi.org/10.3389/fpubh.2026.1937712 ER -
APA
Li, X., Chen, S., Gong, M., Chen, C., Chen, J., & Zhang, J. (2026). Interpretable machine learning for identifying cost drivers of inpatient traditional Chinese medicine services in a tertiary hospital in China. Frontiers in Public Health. https://doi.org/10.3389/fpubh.2026.1937712
Source records
- crossref · retrieved 2026-11-07T20:06:43.819Z