Machine learning determination of motivators of terminal extubation during the transition to end-of-life care in intensive care unit

Abstract Procedural aspects of compassionate care such as the terminal extubation are understudied. We used machine learning methods to determine factors associated with the decision to extubate the critically ill patient at the end of life, and whether the terminal extubation shortens the dying pro...

Full description

Bibliographic Details
Published in:Scientific Reports
Main Authors: Petr Waldauf, Nathan Scales, Jason Shahin, Matous Schmidt, Amanda van Beinum, Laura Hornby, Sam D. Shemie, Melania Hogue, Tineke J. Wind, Walther van Mook, Sonny Dhanani, Frantisek Duska
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Online Access:https://doi.org/10.1038/s41598-023-29042-9