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A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score

机译：预测急诊部门早期死亡率的梯度升压机学习模型：设计九点分类

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摘要

The online version of this article (10.1007/s11606-019-05512-7) contains supplementary material, which is available to authorized users.

机译：本文的在线版本（10.1007 / s11606-019-05512-7）包含补充材料，可供授权用户使用。

著录项

期刊名称 Journal of General Internal Medicine
作者
Maximiliano Klug; Yiftach Barash; Sigalit Bechler; Yehezkel S. Resheff; Talia Tron; Avi Ironi; Shelly Soffer; Eyal Zimlichman; Eyal Klang;
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作者单位

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年(卷),期 2020(35),1
年度 2020
页码 220–227
总页数 8
原文格式 PDF
正文语种
中图分类基础医学;
关键词

机译：机器学习;梯度提升;分类;急诊部;早期死亡率;

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专利

1. A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score [J] . Klug Maximiliano, Barash Yiftach, Bechler Sigalit, Trends in Ecology & Evolution . 2020,第1期

机译：预测急诊部门早期死亡率的梯度升压机学习模型：设计九点分类
2. A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score [J] . Journal of general internal medicine . 2020,第1期

机译：预测急诊部门早期死亡率的梯度升压机学习模型：设计九点分类
3. Emergency Department Triage Early Warning Score (TREWS) predicts in -hospital mortality in the emergency department [J] . Ecological restoration . 2020,第2期

机译：急诊部门的预警分数（特鲁斯）预测急诊部门的死亡率
4. A Machine Learning Model for Triage in Lean Pediatric Emergency Departments [C] . William Caicedo-Torres, Gisela Garcia, Hernando Pinzon Ibero-American conference on artificial intelligence . 2016

机译：精益儿科急诊分诊的机器学习模型
5. Emergency Department Triage Acuity Assignment in Patients with Sepsis at an Academic Tertiary Care Centre: Predictors and Outcomes. [D] . Petruniak, Leon Daniel. 2013

机译：学术性三级护理中心对败血症患者的急诊分诊视力分配：预测因素和结果。
6. Emergency department triage prediction of clinical outcomes using machine learning models [O] . Yoshihiko Raita, Tadahiro Goto, Mohammad Kamal Faridi, 2019

机译：急诊部门使用机器学习模型对临床结果进行分类预测
7. A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score [O] . Maximiliano Klug, Yiftach Barash, Sigalit Bechler, 2019

机译：预测急诊部门早期死亡率的梯度升压机学习模型：设计九点分类

A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score

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