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Updated: Jun 25, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

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增强树木的应用在COVID-19的预后预测中的应用

Sajjad Molaei1, Hadi Moazen2, Hamid R Niazkar3

  • 1Department of Computer Engineering Amirkabir University of Technology Tehran Iran.

Health science reports
|May 24, 2024
PubMed
概括

常规实验室测试如AST,淋巴细胞计数和BUN可以预测COVID-19的严重程度和结果. 这些发现有助于早期识别和管理严重的COVID-19病例.

关键词:
根据COVID-19的情况,在XGBoost中使用.可以解释的提升机器.机器学习是机器学习.预测 预测 预测 预测预后 预后 预后

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