Machine learning-based prediction of bloodstream infection in rectal carbapenem-resistant Enterobacterales carriers: a multicenter retrospective cohort study.
- DOI
- 10.3389/fcimb.2026.1791859
- Published
- 2026
- Container
- Frontiers in cellular and infection microbiology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fcimb.2026.1791859,
title = {Machine learning-based prediction of bloodstream infection in rectal carbapenem-resistant Enterobacterales carriers: a multicenter retrospective cohort study.},
author = {Jeon K and Song W and Shin DH and Kim HS and Kim HS and Lee J and Jeong SH and Jeong S},
year = {2026},
journal = {Frontiers in cellular and infection microbiology},
doi = {10.3389/fcimb.2026.1791859},
url = {https://doi.org/10.3389/fcimb.2026.1791859}
}RIS
TY - JOUR TI - Machine learning-based prediction of bloodstream infection in rectal carbapenem-resistant Enterobacterales carriers: a multicenter retrospective cohort study. AU - Jeon K AU - Song W AU - Shin DH AU - Kim HS AU - Kim HS AU - Lee J AU - Jeong SH AU - Jeong S PY - 2026 JO - Frontiers in cellular and infection microbiology DO - 10.3389/fcimb.2026.1791859 UR - https://doi.org/10.3389/fcimb.2026.1791859 ER -
APA
K, J., W, S., DH, S., HS, K., HS, K., J, L., SH, J., & S, J. (2026). Machine learning-based prediction of bloodstream infection in rectal carbapenem-resistant Enterobacterales carriers: a multicenter retrospective cohort study.. Frontiers in cellular and infection microbiology. https://doi.org/10.3389/fcimb.2026.1791859
Source records
- pubmed · retrieved 2026-09-26T18:48:46.809Z