Skip to content
DraconiticResearch
Search Sources API
203,948 studies31 sourcesUpdated 10 min ago
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

  1. 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.
    Wenxia Ma, Chao Du, Xue Li
    BMC pediatricsPeer-reviewedCC BY-NC-NDFull textEpidemiology & public healthEurope PMCPMC
  2. Prediction of in-hospital mortality at a 72-hour intensive care landmark in patients with sepsis and pre-existing hypertension: development and external validation
    Y. Chen, Y. Cai, H. Bian +1
    medRxivPreprintCC BYFull textEpidemiology & public healthmedRxiv
  3. 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
    Han Chen, Yuming Wu, Pu Chen +3
    Digital HealthPeer-reviewedCC BYFull textEpidemiology & public healthDOAJ
  4. Development and Validation of Temperature Trajectory-Based Phenotypes in Pediatric Sepsis: A Multicenter Retrospective Cohort Study, 2012–2018
    Stephanie R. Brown, L. Nelson Sanchez-Pinto, Jocelyn R. Grunwell +10
    Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care SocietiesPeer-reviewedLicence not statedFull text1 citedGeneral medicinePMC
  5. 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.
    Shu Yang, Jing Luo, Lianzheng Ma +3
    Frontiers in endocrinologyPeer-reviewedCC BYFull textEndocrinology & metabolismEurope PMCCrossref
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  -