Development and Validation of a Machine Learning Approach for Automated Severity Assessment of COVID-19 Based on Clinical and Imaging Data: Retrospective Study.

Juan Carlos Quiroz You-Zhen Feng Zhong-Yuan Cheng Dana Rezazadegan Ping-Kang Chen Qi-Ting Lin Long Qian Xiao-Fang Liu Shlomo Berkovsky Enrico W Coiera Lei Song Xiaoming Qiu Sidong Liu Xiang-Ran Cai

Published in: JMIR medical informatics (2021)

Clinical and imaging features can be used for automated severity assessment of COVID-19 and can potentially help triage patients with COVID-19 and prioritize care delivery to those at a higher risk of severe disease.

Keyphrases

machine learning
coronavirus disease
sars cov
high resolution
deep learning
big data
emergency department
high throughput
healthcare
palliative care
artificial intelligence
early onset
pain management
health insurance
photodynamic therapy
chronic pain
single cell