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Early triage of critically ill COVID-19 patients using deep learning
W. Liang, J. Yao, et al.
This study showcases a groundbreaking deep learning survival model that accurately predicts the risk of COVID-19 patients progressing to critical illness based on their clinical characteristics at admission. Developed by a diverse team of researchers, this model not only demonstrates impressive validation results across multiple cohorts but also features an online tool that aids in timely patient triage and resource allocation.
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