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INTRODUCTION: Predicting time to death after terminal extubation is valuable to augment family counseling and identify suitable candidates for organ donation after circulatory death (DCD). Our objective was to train and validate a machine learning…

Abstract
OBJECTIVES:
To develop and validate an algorithm to guide selection of patients for pediatric critical care admission during a severe pandemic when Crisis Standards of Care are implemented.
DESIGN:
Retrospective observational study using…
Output Formats

atom, dcmes-xml, json, omeka-xml, rss2