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Updated: Jan 12, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

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在资源有限的环境中使用基本参数预测COVID-19住院患者的死亡率:全国性的多中心队列研究

Ibrahem Hanafi1, Marah Alsalkini2, Alaa Almouhammad3

  • 1Division of Neurology, Department of Internal Medicine, Faculty of Medicine, Damascus University, Midan Area 9, Zahira Neighborhood 1, Muhiddin Kattab Ave, Lane 1021, Building 2, Damascus, Syrian Arab Republic. Ibrahem.W.Hanafi@gmail.com.

BMC infectious diseases
|November 4, 2025
PubMed
概括

开发了LR-COMPAK和LR-ALBO-ICU得分,以预测资源有限的环境中的COVID-19死亡率. 这些工具有助于医院住院决策和资源分配,改善在具有挑战性的医疗环境中患者的治疗结果.

关键词:
在 COVID-19 疫情中,临床决策的过程预测死亡率的预测.资源有限的设置设置.评分系统 评分系统

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