相关实验视频

Updated: Jul 10, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

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在SARS-CoV-2感染中使用机器学习进行多变量风险建模和生存分析

Andrea Ciarmiello1, Francesca Tutino1, Elisabetta Giovannini1

  • 1Nuclear Medicine Unit, Ospedale Civile Sant'Andrea, Via Vittorio Veneto 170, 19124 La Spezia, Italy.

Journal of clinical medicine
|November 25, 2023
PubMed
概括

使用人口统计,CT扫描和血液检查的机器学习模型可以预测SARS-CoV-2 (COVID-19) 患者的严重结果. 该工具有助于早期识别高风险个体,以更好地管理重症监护.

关键词:
这就是为什么CTCTCTCTCTCT这就是SARS-CoV-2病毒.机器学习是机器学习.无线电学 (radiomics) 是一种无线电学.幸存率 幸存率 生存率

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