Development and Validation of a Machine Learning Approach for Automated Severity Assessment of COVID-19 Based on Clinical and Imaging Data: Retrospective Study
JMIR Medical Informatics2021Vol. 9(2), pp. e24572–e24572
Citations Over TimeTop 10% of 2021 papers
Juan C. Quiroz, You‐Zhen Feng, Zhong‐Yuan Cheng, Dana Rezazadegan, Ping-Kang Chen, Qi‐Ting Lin, Long Qian, Xiaofang Liu, Shlomo Berkovsky, Enrico Coiera, Lei Song, Xiaoming Qiu, Sidong Liu, Xiang‐Ran Cai
Abstract
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.
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