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BIO-CXRNET:一种强大的多式堆叠机器学习技术,用于使用胸部X射线图像和临床数据预测COVID-19患者的死亡风险

Tawsifur Rahman1, Muhammad E H Chowdhury1, Amith Khandakar1

  • 1Department of Electrical Engineering, Qatar University, P.O. Box 2713, Doha, Qatar.

Neural computing & applications
|June 26, 2023
PubMed
概括

一个新的AI系统使用生物标志物和胸部X射线图像准确诊断COVID-19风险. 这种多模式的方法可以提高诊断准确度,并预测患者的死亡风险,帮助临床管理.

关键词:
在 COVID-19 疫情中,胸部X射线 胸部X射线经典机器学习是一种经典的机器学习.临床数据 临床数据深度学习是一种深度学习.多式联运系统多式联运系统.预测模型是一个预测模型.

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