Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Development and validation of a risk score to predict mortality in the pediatric intensive care unit using routinely collected data in Northwest Ethiopia: a retrospective study
Related
- Development and internal validation of a Septic Shock Clinical Score System (SCSS) for predicting 28-day mortality in pediatric patients: a single-center retrospective study.
- Prediction of in-hospital mortality at a 72-hour intensive care landmark in patients with sepsis and pre-existing hypertension: development and external validation
- An interpretable machine learning model for predicting intensive care unit mortality risk in elderly patients with concomitant cardiogenic shock and sepsis: Development and external validation using two large critical care databases
- Development and Validation of Temperature Trajectory-Based Phenotypes in Pediatric Sepsis: A Multicenter Retrospective Cohort Study, 2012–2018
- Development and validation of an interpretable machine learning model for predicting early acute kidney injury and altered consciousness in cardiac surgery patients admitted to the intensive care unit: a retrospective study.
BibTeX
@article{alamirew2026development,
title = {{Development and validation of a risk score to predict mortality in the pediatric intensive care unit using routinely collected data in Northwest Ethiopia: a retrospective study}},
author = {Yitayih Baylie Alamirew and Tamene Habitu Enyew and Mulualem Endeshaw Zeleke and Kassaye Demeke Altaye and Geta Bayu Genet and Nahom Worku Teshager},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-76907-w},
url = {https://www.nature.com/articles/s41598-026-76907-w},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Development and validation of a risk score to predict mortality in the pediatric intensive care unit using routinely collected data in Northwest Ethiopia: a retrospective study
AU - Yitayih Baylie Alamirew
AU - Tamene Habitu Enyew
AU - Mulualem Endeshaw Zeleke
AU - Kassaye Demeke Altaye
AU - Geta Bayu Genet
AU - Nahom Worku Teshager
PY - 2026
DA - 2026/10/30
JO - Scientific Reports
DO - 10.1038/s41598-026-76907-w
UR - https://www.nature.com/articles/s41598-026-76907-w
SN - 2045-2322
ER -