Model to predict inpatient mortality from information gathered at presentation to an emergency department: The Triage Information Mortality Model (TIMM)

Teubner David J. O.; Considine Julie; Hakendorf Paul; Kim Susan; Bersten Andrew D.

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Model to predict inpatient mortality from information gathered at presentation to an emergency department: The Triage Information Mortality Model (TIMM)

机译：根据向急诊科演示时收集的信息预测住院病人死亡率的模型：分类信息死亡率模型（TIMM）

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摘要

ObjectivesTo derive and validate a mortality prediction model from information available at ED triage.

机译：目的从ED分类中获得的信息推导并验证死亡率预测模型。

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《Emergency medicine Australasia: EMA》 |2015年第4期|共7页
作者
Teubner David J. O.; Considine Julie; Hakendorf Paul; Kim Susan; Bersten Andrew D.;
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正文语种 eng
中图分类外科学;
关键词
hospital mortality; mortality prediction; triage;

机译：医院死亡率;死亡率预测;分类;

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专利

1. Model to predict inpatient mortality from information gathered at presentation to an emergency department: The Triage Information Mortality Model (TIMM) [J] . Teubner David J. O., Considine Julie, Hakendorf Paul, Emergency medicine Australasia: EMA . 2015,第4期

机译：根据向急诊科演示时收集的信息预测住院病人死亡率的模型：分类信息死亡率模型（TIMM）
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. PREDICTION MODEL OF INPATIENT MORTALITY FOR PATIENTS WITH MYOCARDIAL INFARCTION [C] . Hynek Kruzik, Jiri Vomlel, Vaclav Kratochvil, International Conference on Health Informatics . 2012

机译：心肌梗死患者的住院性死亡率预测模型
5. Impact of Emergency Department Patient Flow Model and Triage Level on Patient Wait Times [D] . Featherstone, JoAnn Lynn 2017

机译：急诊科患者流程模型和分诊级别对患者等待时间的影响
6. 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, 2020

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
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

Model to predict inpatient mortality from information gathered at presentation to an emergency department: The Triage Information Mortality Model (TIMM)

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