Development and internal validation of an interpretable machine-learning model for predicting sepsis within 48 hours after admission in emergency-admitted patients with pulmonary infection.
- DOI
- 10.1186/s12873-026-01725-2
- Published
- 2026 Aug 12
- Container
- BMC emergency medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12873-026-01725-2,
title = {Development and internal validation of an interpretable machine-learning model for predicting sepsis within 48 hours after admission in emergency-admitted patients with pulmonary infection.},
author = {Lin S and Zhang S},
year = {2026},
journal = {BMC emergency medicine},
doi = {10.1186/s12873-026-01725-2},
url = {https://doi.org/10.1186/s12873-026-01725-2}
}RIS
TY - JOUR TI - Development and internal validation of an interpretable machine-learning model for predicting sepsis within 48 hours after admission in emergency-admitted patients with pulmonary infection. AU - Lin S AU - Zhang S PY - 2026 JO - BMC emergency medicine DO - 10.1186/s12873-026-01725-2 UR - https://doi.org/10.1186/s12873-026-01725-2 ER -
APA
S, L., & S, Z. (2026). Development and internal validation of an interpretable machine-learning model for predicting sepsis within 48 hours after admission in emergency-admitted patients with pulmonary infection.. BMC emergency medicine. https://doi.org/10.1186/s12873-026-01725-2
Source records
- pubmed · retrieved 2026-11-10T20:18:06.636Z