Machine learning model identification and prediction of patients’ need for ICU admission: A systematic review-Reference-Cited by-同舟云学术

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Machine learning model identification and prediction of patients’ need for ICU admission: A systematic review

Published:2023-11 Issue: Volume:73 Page:166-170
ISSN:0735-6757
Container-title:The American Journal of Emergency Medicine
language:en
Short-container-title:The American Journal of Emergency Medicine

Author:

Chen Yujing,Chen Han,Sun Qian,Zhai Rui,Liu Xiaowei,Zhou Jianyi,Li Shufang

Publisher

Elsevier BV

Subject

Emergency Medicine,General Medicine

Reference34 articles.

1. Frequent overcrowding in U.S. emergency departments;Derlet;Acad Emerg Med,2001

2. Health systems and services: the role of acute care;Hirshon;Bull World Health Organ,2013

3. Clinical review: Emergency department overcrowding and the potential impact on the critically ill.;Cowan,2004

4. Global critical care: a call to action;Crawford;Crit Care,2023

5. A review of triage accuracy and future direction;Tam;BMC Emerg Med,2018

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An explainable machine learning-based model to predict intensive care unit admission among patients with community-acquired pneumonia and connective tissue disease;Respiratory Research;2024-06-18

2. Preserving multi-dimensional information: A hypersphere method for parameter space analysis;Heliyon;2024-04

3. Improved interpretable machine learning emergency department triage tool addressing class imbalance;DIGITAL HEALTH;2024-01

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