Development and validation of a machine learning-based early warning model for carbapenem-resistant Klebsiella pneumoniae bloodstream infections using non-carbapenem susceptibility profiles.
- DOI
- 10.3389/fmicb.2026.1807076
- Published
- 2026
- Container
- Frontiers in microbiology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fmicb.2026.1807076,
title = {Development and validation of a machine learning-based early warning model for carbapenem-resistant Klebsiella pneumoniae bloodstream infections using non-carbapenem susceptibility profiles.},
author = {Song J and Bai Y and He S and Ji J and Chen Y and Xiao Y},
year = {2026},
journal = {Frontiers in microbiology},
doi = {10.3389/fmicb.2026.1807076},
url = {https://doi.org/10.3389/fmicb.2026.1807076}
}RIS
TY - JOUR TI - Development and validation of a machine learning-based early warning model for carbapenem-resistant Klebsiella pneumoniae bloodstream infections using non-carbapenem susceptibility profiles. AU - Song J AU - Bai Y AU - He S AU - Ji J AU - Chen Y AU - Xiao Y PY - 2026 JO - Frontiers in microbiology DO - 10.3389/fmicb.2026.1807076 UR - https://doi.org/10.3389/fmicb.2026.1807076 ER -
APA
J, S., Y, B., S, H., J, J., Y, C., & Y, X. (2026). Development and validation of a machine learning-based early warning model for carbapenem-resistant Klebsiella pneumoniae bloodstream infections using non-carbapenem susceptibility profiles.. Frontiers in microbiology. https://doi.org/10.3389/fmicb.2026.1807076
Source records
- pubmed · retrieved 2026-09-26T19:10:43.428Z