@article{f051ce51241646678b4152742bbf802a,
title = "Death One Hour After Terminal Extubation in Children: Validation of a Machine Learning Model to Predict Cardiac Death After Withdrawal of Life-Sustaining Treatment in a Multicenter Cohort, 2009–2021",
keywords = "artificial respiration, data science, machine learning, palliative care, pediatric intensive care units, terminal care",
author = "\{Pediatric Data Science and Analytics (PEDAL)\} and \{Pediatric Acute Lung Injury and Sepsis Investigators (PALISI) Network\} and Winter, \{Meredith C.\} and Zhou, \{Alice X.\} and Eugene Laksana and Aczon, \{Melissa D.\} and Ledbetter, \{David R.\} and Michael Avesar and Kimberly Burkiewicz and Chandnani, \{Harsha K.\} and Nina Fainberg and Stephanie Hsu and McCrory, \{Michael C.\} and Morrow, \{Katie R.\} and Anna Noguchi and O{\textquoteright}Brien, \{Caitlin E.\} and Apoorva Ojha and Charlene Pringle and Ross, \{Patrick A.\} and Jui Shah and Sareen Shah and Leonid Shpaner and Siegel, \{Linda B.\} and Sandeep Tripathi and Wetzel, \{Randall C.\}",
note = "Publisher Copyright: {\textcopyright} 2025 by the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.",
year = "2025",
month = aug,
day = "1",
doi = "10.1097/PCC.0000000000003772",
language = "English",
volume = "26",
pages = "e997--e1008",
journal = "Pediatric Critical Care Medicine",
issn = "1529-7535",
number = "8",
}