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Updated: Jun 27, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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Published on: December 19, 2020

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在住院时预测COVID-19严重性风险的临床特征

Dikshant Sagar1,2, Tanima Dwivedi3, Anubha Gupta4

  • 1Computer Science, Indraprastha Institute of Information Technology - Delhi, Delhi, IND.

Cureus
|May 1, 2024
PubMed
概括

一种可解释的人工智能 (AI) 模型,CoSP,使用患者入院时的临床数据准确预测COVID-19的严重程度. 这种工具有助于早期干预和资源配置,以改善患者的治疗结果.

关键词:
人工智能的人工智能是人工智能.在COVID-19中,有很多人.功能选择 功能选择归算是指指责一个人.实验室特征 实验室特征机器学习是机器学习.这是SARS-CoV-2病毒.严重程度的严重程度.

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