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可解释的人工智能方法用于使用临床标志物的COVID-19预后预测

Krishnaraj Chadaga1, Srikanth Prabhu2, Niranjana Sampathila3

  • 1Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India. krishnarajchadaga18@gmail.com.

Scientific reports
|January 20, 2024
PubMed
概括

机器学习模型使用临床标志物准确预测COVID-19的严重程度,帮助对脆弱患者进行早期干预. 可解释的人工智能识别了诸如c-反应蛋白和D-Dimer等关键指标,以获得更好的预后.

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