Development and internal validation of an interpretable machine learning model for predicting vancomycin-induced nephrotoxicity in hospitalized children.
- DOI
- 10.1007/s11096-026-02204-1
- Published
- 2026 Aug 25
- Container
- International journal of clinical pharmacy
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11096-026-02204-1,
title = {Development and internal validation of an interpretable machine learning model for predicting vancomycin-induced nephrotoxicity in hospitalized children.},
author = {Wang X and Fu Y and Chen J and Wan J and Kong W},
year = {2026},
journal = {International journal of clinical pharmacy},
doi = {10.1007/s11096-026-02204-1},
url = {https://doi.org/10.1007/s11096-026-02204-1}
}RIS
TY - JOUR TI - Development and internal validation of an interpretable machine learning model for predicting vancomycin-induced nephrotoxicity in hospitalized children. AU - Wang X AU - Fu Y AU - Chen J AU - Wan J AU - Kong W PY - 2026 JO - International journal of clinical pharmacy DO - 10.1007/s11096-026-02204-1 UR - https://doi.org/10.1007/s11096-026-02204-1 ER -
APA
X, W., Y, F., J, C., J, W., & W, K. (2026). Development and internal validation of an interpretable machine learning model for predicting vancomycin-induced nephrotoxicity in hospitalized children.. International journal of clinical pharmacy. https://doi.org/10.1007/s11096-026-02204-1
Source records
- pubmed · retrieved 2026-09-26T07:27:08.604Z