Evaluating sepsis watch generalizability through multisite external validation of a sepsis machine learning model
- DOI
- 10.1038/s41746-025-01664-5
- Published
- 2025-06-11
- Container
- npj Digital Medicine
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41746-025-01664-5,
title = {Evaluating sepsis watch generalizability through multisite external validation of a sepsis machine learning model},
author = {Bruno Valan and Anusha Prakash and William Ratliff and Michael Gao and Srikanth Muthya and Ajit Thomas and Jennifer L. Eaton and Matt Gardner and Marshall Nichols and Mike Revoir and Dustin Tart and Cara O’Brien and Manesh Patel and Suresh Balu and Mark Sendak},
year = {2025},
journal = {npj Digital Medicine},
doi = {10.1038/s41746-025-01664-5},
url = {https://doi.org/10.1038/s41746-025-01664-5}
}RIS
TY - JOUR TI - Evaluating sepsis watch generalizability through multisite external validation of a sepsis machine learning model AU - Bruno Valan AU - Anusha Prakash AU - William Ratliff AU - Michael Gao AU - Srikanth Muthya AU - Ajit Thomas AU - Jennifer L. Eaton AU - Matt Gardner AU - Marshall Nichols AU - Mike Revoir AU - Dustin Tart AU - Cara O’Brien AU - Manesh Patel AU - Suresh Balu AU - Mark Sendak PY - 2025 JO - npj Digital Medicine DO - 10.1038/s41746-025-01664-5 UR - https://doi.org/10.1038/s41746-025-01664-5 ER -
APA
Valan, B., Prakash, A., Ratliff, W., Gao, M., Muthya, S., Thomas, A., Eaton, J. L., Gardner, M., Nichols, M., Revoir, M., Tart, D., O’Brien, C., Patel, M., Balu, S., & Sendak, M. (2025). Evaluating sepsis watch generalizability through multisite external validation of a sepsis machine learning model. npj Digital Medicine. https://doi.org/10.1038/s41746-025-01664-5
Source records
- crossref · retrieved 2026-09-27T02:19:49.957Z