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Learning to Predict in-hospital mortality risk in intensive care unit with attention-based Temporal convolution network

机译：学习预测基于关注的时间卷积网络的重症监护单元中医院死亡率风险

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Yu-wen Chen; Yu-jie Li; Zhi-yong Yang; Kun-hua Zhong; Li-ge Zhang; Yang Chen; Hong-yu Zhi; Peng Deng; Dan-dan Wang; Jian-teng Gu; Jiao-lin Ning; Kai-zhi Lu; Ju Zhang; Zheng-yuan Xia; Bin Yi;
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1. Prediction of in-hospital mortality risk in intensive care unit based on deep neural network [J] . Chen Yuwen, Wang Peng, Lin Xiaoguang, Basic & clinical pharmacology & toxicology. . 2019,第S1期

机译：基于深神经网络的重症监护室内医院死亡率风险预测
2. Prediction of in-hospital mortality risk in intensive care unit based on deep neural network [J] . Chen Yuwen, Wang Peng, Lin Xiaoguang, Basic & clinical pharmacology & toxicology. . 2019,第S1期

机译：基于深神经网络的重症监护室内医院死亡率风险预测
3. Application of artificial neural networks to establish a predictive mortality risk model in children admitted to a paediatric intensive care unit [J] . Singapore medical journal . 2006,第11期

机译：人工神经网络在建立儿童重症监护病房的儿童中建立预测性死亡风险模型的应用
4. CinC Challenge: Predicting in-hospital mortality in the intensive care unit by analyzing histograms of medical variables under Cascaded Adaboost model [C] . Yi Chucai, Sun Yi, Tian Yingli Computing in Cardiology 2012.;vol. 39. . 2012

机译：CinC挑战：通过级联Adaboost模型分析医疗变量的直方图，预测重症监护病房的院内死亡率
5. Predicting In-Hospital Mortality from Intensive Care Admissions Records with Recurrent Neural Networks [D] . Wilks, Asa. 2021

机译：预测经常性神经网络的重症监护记录中的住院内死亡率
6. Risk Factors for Intensive Care Unit Admission and In-hospital Mortality among Hospitalized Adults Identified through the U.S. Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET) [O] . Lindsay Kim, Shikha Garg, Alissa O’Halloran, -1

机译：通过美国冠状病毒疾病（Covid-19）的住院成人重症监护室入院和住院死亡率的危险因素（Covid-19） - 分配住院监测网络（Covid-Net）
7. APACHE IV is an accurate measure of predicting in-hospital mortality of ICU patients, but there are covariates associated with its occasional failure - a multicentre analysis of intensive care units [O] . Shuo Feng, Joel A Dubin 2020

机译：Apache IV是预测ICU患者的住院内死亡率的准确措施，但有与偶尔失败有关的协变量 - 一种重症监护单位的多期面分析

Learning to Predict in-hospital mortality risk in intensive care unit with attention-based Temporal convolution network

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