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Development and Validation of a Machine Learning Approach for Automated Severity Assessment of COVID-19 Based on Clinical and Imaging Data: Retrospective Study
50
Zitationen
14
Autoren
2021
Jahr
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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Autoren
Institutionen
- UNSW Sydney(AU)
- Macquarie University(AU)
- Australian Institute of Health and Welfare(AU)
- First Affiliated Hospital of Jinan University(CN)
- Swinburne University of Technology(AU)
- Peking University(CN)
- Sun Yat-sen University(CN)
- Nankai University(CN)
- Hubei University of Arts and Science(CN)
- Xiangyang Central Hospital(CN)
- Huangshi Central Hospital(CN)
- Hubei Polytechnic University(CN)