相关实验视频

Updated: Sep 18, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

777

十二个机器学习模型在预测儿童COVID-19死亡风险方面的比较性能:巴西的一项基于人口的回顾性队列研究

Adriano Lages Dos Santos1,2, Maria Christina L Oliveira2, Enrico A Colosimo3

  • 1Engineering and Informatics, Federal Institute of Science and Technology of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.

PeerJ. Computer science
|June 26, 2025
PubMed
概括

机器学习模型可以预测儿童COVID-19患者的死亡率. 后勤回归,梯度提升和AdaBoost显示出高准确度,确定氧和度降低,并发病症和年龄较大是关键风险因素.

关键词:
人工智能的人工智能是人工智能.在 COVID-19 疫情中,孩子 孩子 孩子 孩子死亡预测 死亡预测医疗保健 医疗保健 医疗保健 医疗保健机器学习 机器学习死亡率 死亡率 死亡率风险 风险 风险 风险 风险

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