Fine-Grained Assessment of COVID-19 Severity Based on Clinico-Radiological Data Using Machine Learning.

Haipeng LiuJiangtao WangYayuan GengKunwei LiHan WuJian ChenXiangfei ChaiShaolin LiDingchang Zheng

Published in: International journal of environmental research and public health (2022)

CT-based clinico-radiological features can provide an important reference for the accurate fine-grained assessment of illness severity using machine learning to achieve the early triage of COVID-19 patients.

Keyphrases

sars cov
molecular dynamics
air pollution
coronavirus disease
emergency department
computed tomography
high resolution
big data
electronic health record
magnetic resonance imaging
contrast enhanced
dual energy
image quality
machine learning
mass spectrometry
magnetic resonance
deep learning