Multi-modal pediatric critical care datamart for extracorporeal support prediction and decision support

This platform provides a scalable foundation for predictive modeling across pediatric critical care, beyond ECMO, to support precision decision-making and outcomes research.

Authors

Institutions

Publication Details

Journal
JAMIA Open
Published
2026-01-06
DOI
https://doi.org/10.1093/jamiaopen/ooag011
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-modal pediatric critical care datamart for extracorporeal support prediction and decision support

Miranda Edmunds, Julius Sagel, Philip P. R. Payne, Inez Y. Oh et al.
JAMIA Open
Sepsis Diagnosis and Treatment
article

Multi-modal pediatric critical care datamart for extracorporeal support prediction and decision support

Miranda Edmunds, Julius Sagel, Philip P. R. Payne, Inez Y. Oh, Ahmed S. Said, Aditi Gupta, Yuyao Zhuge, Levi Kaster
article en

Abstract

This platform provides a scalable foundation for predictive modeling across pediatric critical care, beyond ECMO, to support precision decision-making and outcomes research.

JAMIA OpenVol. 9(1)
Washington University in St. Louis (US)
Washington University in St. Louis, Children's Discovery Institute, National Institutes of Health, National Center for Advancing Translational Sciences
Peace, Justice and strong institutions
Openalex Percentile: Top 53%
Sepsis Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.