An externally validated machine learning model to predict cesarean surgical site infections
- DOI
- 10.1002/pmf2.70231
- Published
- 2026-01
- Container
- Pregnancy
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/pmf2.70231,
title = {An externally validated machine learning model to predict cesarean surgical site infections},
author = {Megan M. Lobel and Stephen M. Wagner and Enid Y. Rivera‐Chiauzzi and Michelle A. Wyatt and Stephanie L. Pierce and Lillian Dyre and Maureen S. Hamel and Methodius G. Tuuli and Sam R. Lobel},
year = {2026},
journal = {Pregnancy},
doi = {10.1002/pmf2.70231},
url = {https://doi.org/10.1002/pmf2.70231}
}RIS
TY - JOUR TI - An externally validated machine learning model to predict cesarean surgical site infections AU - Megan M. Lobel AU - Stephen M. Wagner AU - Enid Y. Rivera‐Chiauzzi AU - Michelle A. Wyatt AU - Stephanie L. Pierce AU - Lillian Dyre AU - Maureen S. Hamel AU - Methodius G. Tuuli AU - Sam R. Lobel PY - 2026 JO - Pregnancy DO - 10.1002/pmf2.70231 UR - https://doi.org/10.1002/pmf2.70231 ER -
APA
Lobel, M. M., Wagner, S. M., Rivera‐Chiauzzi, E. Y., Wyatt, M. A., Pierce, S. L., Dyre, L., Hamel, M. S., Tuuli, M. G., & Lobel, S. R. (2026). An externally validated machine learning model to predict cesarean surgical site infections. Pregnancy. https://doi.org/10.1002/pmf2.70231
Source records
- crossref · retrieved 2026-09-27T05:19:56.278Z