Machine learning algorithm for predicting 30-day mortality in patients receiving rapid response system activation: A retrospective nationwide cohort study-Reference-Cited by-同舟云学术

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Machine learning algorithm for predicting 30-day mortality in patients receiving rapid response system activation: A retrospective nationwide cohort study

Published:2024-06 Issue:11 Volume:10 Page:e32655
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Kurita Takeo^ORCID,Oami Takehiko,Tochigi Yoko,Tomita Keisuke,Naito Takaki,Atagi Kazuaki,Fujitani Shigeki,Nakada Taka-aki

Publisher

Elsevier BV

Reference27 articles.

1. Rapid response teams as a patient safety practice for failure to rescue;Fischer;JAMA,2021

2. The rapid response system and end-of-life care;Jones;Curr. Opin. Crit. Care,2013

3. Changes in end of life care 5 years after the introduction of a rapid response team: a multicentre retrospective study;Downar;Resuscitation,2013

4. Characteristics and dying trajectories of adult hospital patients from acute care wards who die following review by the rapid response team;Coombs;Anaesth. Intensive Care,2016

5. Pre-existing risk factors for in-hospital death among older patients could be used to initiate end-of-life discussions rather than Rapid Response System calls: a case-control study;Cardona-Morrell;Resuscitation,2016

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