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Conventional risk prediction models fail to accurately predict mortality risk among patients with coronavirus disease 2019 in intensive care units: a difficult time to assess clinical severity and quality of care

机译：传统风险预测模型未能准确地预测2019年重症监护单位冠状病毒疾病患者的死亡风险：评估临床严重程度和护理质量的困难时机

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Clinical characteristics

机译：临床特征

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期刊名称 Journal of Intensive Care
作者
Hideki Endo; Hiroyuki Ohbe; Junji Kumasawa; Shigehiko Uchino; Satoru Hashimoto; Yoshitaka Aoki; Takehiko Asaga; Eiji Hashiba; Junji Hatakeyama; Katsura Hayakawa; Nao Ichihara; Hiromasa Irie; Tatsuya Kawasaki; Hiroshi Kurosawa; Tomoyuki Nakamura; Hiroshi Okamoto; Hidenobu Shigemitsu; Shunsuke Takaki; Kohei Takimoto; Masatoshi Uchida; Ryo Uchimido; Hiroaki Miyata;
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年(卷),期 2021(-1),-1
年度 2021
页码 -1
总页数 4
原文格式 PDF
正文语种
中图分类
关键词
Coronavirus disease 2019; Risk of death; Intensive care unit; Risk prediction model; Quality improvement;

机译：冠状病毒疾病2019;死亡风险;重症监护单位;风险预测模型;质量改进;
入库时间 2022-08-21 12:01:32

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1. Risk prediction of hospital mortality for adult patients admitted to Australian and New Zealand intensive care units: Development and validation of the Australian and New Zealand Risk of Death model [J] . PaulE., BaileyM., PilcherD. Journal of critical care . 2013,第6期

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2. Risk factors, sequential organ failure assessment and model for end-stage liver disease scores for predicting short term mortality in cirrhotic patients admitted to intensive care unit. [J] . Cholongitas E, Senzolo M, Patch D, Alimentary pharmacology & therapeutics. . 2006,第7期

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3. Disease risk and mortality prediction in intensive care patients with pneumonia. Australian and New Zealand practice in intensive care (ANZPIC II). [J] . Boots RJ, Lipman J, Bellomo R, Anaesthesia and intensive care . 2005,第1期

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4. Heterogeneous postsurgical data analytics for predictive modeling of mortality risks in intensive care units [C] . Chen Yun, Yang Hui Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2014

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5. Risk adjustment in a European primary care context: Assessing the properties of Adjusted Clinical Groups (ACG) for predictive modeling, for special populations and using ATC pharmacy codes. [D] . Boto, Paulo Alexandre. 2011

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Conventional risk prediction models fail to accurately predict mortality risk among patients with coronavirus disease 2019 in intensive care units: a difficult time to assess clinical severity and quality of care

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