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. 2020 May 28;182(1):59–72.e15. doi: 10.1016/j.cell.2020.05.032

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© 2020 Elsevier Inc.

Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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Summary of COVID-19 Patients and Machine Learning Design

(A) Summary of COVID-19 patients, including non-severe (n = 37) and severe (n = 28) patients with more details in Table S1. Patients labeled in red (y axis) indicate chronic infection of hepatitis B virus.

(B) Study design for machine-learning-based classifier development for severe COVID-19 patients. We first procured samples in a training cohort (C1) for proteomic and metabolomic analysis. The classifier was then validated in an independent test cohort (C2), followed by a second test cohort (C3).