Development and evaluation of machine learning-based prediction-modelling for initial vancomycin serum concentrations in septic ICU patients using clinical health record data.
- DOI
- 10.1186/s40635-026-00973-7
- Published
- 2026 Sep 23
- Container
- Intensive care medicine experimental
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s40635-026-00973-7,
title = {Development and evaluation of machine learning-based prediction-modelling for initial vancomycin serum concentrations in septic ICU patients using clinical health record data.},
author = {Grugel R and Westhus B and Nowak H and Adamzik M and Rahmel T and Eisenacher M},
year = {2026},
journal = {Intensive care medicine experimental},
doi = {10.1186/s40635-026-00973-7},
url = {https://doi.org/10.1186/s40635-026-00973-7}
}RIS
TY - JOUR TI - Development and evaluation of machine learning-based prediction-modelling for initial vancomycin serum concentrations in septic ICU patients using clinical health record data. AU - Grugel R AU - Westhus B AU - Nowak H AU - Adamzik M AU - Rahmel T AU - Eisenacher M PY - 2026 JO - Intensive care medicine experimental DO - 10.1186/s40635-026-00973-7 UR - https://doi.org/10.1186/s40635-026-00973-7 ER -
APA
R, G., B, W., H, N., M, A., T, R., & M, E. (2026). Development and evaluation of machine learning-based prediction-modelling for initial vancomycin serum concentrations in septic ICU patients using clinical health record data.. Intensive care medicine experimental. https://doi.org/10.1186/s40635-026-00973-7
Source records
- pubmed · retrieved 2026-09-25T17:25:10.952Z