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Updated: Jul 16, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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一个可解释的机器学习框架用于COVID-19的诊断和预后

Yongxian Fan1, Meng Liu1, Guicong Sun1

  • 1School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, 541004, China.

PloS one
|September 21, 2023
PubMed
概括

这项研究介绍了KISM,一种可解释的机器学习框架,用于通过血液检测来诊断和预测COVID-19患者的结果. KISM实现了高准确性,并确定了用于诊断和预后的关键生物标志物.

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