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Triage nurse prediction as a covariate in a machine learning prediction algorithm for hospital admission from the emergency department.

作者信息

Afnan Michael Anis Mihdi, Ali Fatima, Worthington Helena, Netke Tejas, Singh Parminder, Kajamuhan Changavy

机构信息

Department of Medicine, Imperial College London, United Kingdom.

Department of Medicine, Imperial College London, United Kingdom.

出版信息

Int J Med Inform. 2021 Sep;153:104528. doi: 10.1016/j.ijmedinf.2021.104528. Epub 2021 Jul 17.

DOI:10.1016/j.ijmedinf.2021.104528
PMID:34305002
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8285221/
Abstract
摘要

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本文引用的文献

1
Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead.停止为高风险决策解释黑箱机器学习模型,转而使用可解释模型。
Nat Mach Intell. 2019 May;1(5):206-215. doi: 10.1038/s42256-019-0048-x. Epub 2019 May 13.
2
Machine learning for developing a prediction model of hospital admission of emergency department patients: Hype or hope?用于开发急诊科患者住院预测模型的机器学习:炒作还是希望?
Int J Med Inform. 2021 Aug;152:104496. doi: 10.1016/j.ijmedinf.2021.104496. Epub 2021 May 15.
3
Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Intracranial Hemorrhage.深度学习算法检测颅内出血的诊断准确性和失效模式分析。
J Am Coll Radiol. 2021 Aug;18(8):1143-1152. doi: 10.1016/j.jacr.2021.03.005. Epub 2021 Apr 3.
4
Racial Bias in Pulse Oximetry Measurement.脉搏血氧饱和度测量中的种族偏见。
N Engl J Med. 2020 Dec 17;383(25):2477-2478. doi: 10.1056/NEJMc2029240.
5
Ability of triage nurses to predict, at the time of triage, the eventual disposition of patients attending the emergency department (ED): a systematic literature review and meta-analysis.分诊护士在分诊时预测急诊科就诊患者最终去向的能力:系统文献回顾和荟萃分析。
Emerg Med J. 2021 Sep;38(9):694-700. doi: 10.1136/emermed-2019-208910. Epub 2020 Jun 19.
6
Independent determinants of prolonged emergency department length of stay in a tertiary care centre: a prospective cohort study.独立决定因素对三级护理中心急诊停留时间延长的影响:一项前瞻性队列研究。
Scand J Trauma Resusc Emerg Med. 2018 Sep 20;26(1):81. doi: 10.1186/s13049-018-0547-5.