Severe/critical COVID-19 early warning system based on machine learning algorithms using novel imaging scores
Qiu-Yu Li, Zhuo-Yu An, Zi-Han Pan, Zi-Zhen Wang, Yi-Ren Wang, Xi-Gong Zhang, Ning Shen
Qiu-Yu Li, Zi-Han Pan, Ning Shen, Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing 100191, China
Zhuo-Yu An, Yi-Ren Wang, Department of Education, Peking University People’s Hospital, Beijing 100044, China
Zi-Zhen Wang, Department of Education, China-Japan Friendship Hospital, Beijing 100029, China
Xi-Gong Zhang, Department of Education, Beijing Jishuitan Hospital, Beijing 100096, China
Author contributions: Li QY and An ZY reviewed the literature and contributed to manuscript drafting and revising, both contributed equally to this manuscript, and considered as co-first authors; Pan ZH, Wang ZZ, Wang YR, Zhang XG, Shen N contributed to making a revision to the manuscript; Li QY also contributed to conceptualization, methodology, and funding acquisition; Li QY, An ZY and Zhang XG contributed equally to this paper; all authors issued final approval for the version to be submitted.
Supported by National Natural Science Foundation of China, No. 81900641; and the Research Funding of Peking University, BMU2021MX020 and BMU2022MX008.
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of Peking University Third Hospital (IRB00006761-M2020054 and IRB00006761-M2020055).
Conflict-of-interest statement: The authors declare that they have no conflicts of interest with the contents of this article.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See:
https://creativecommons.org/Licenses/by-nc/4.0/ Corresponding author: Ning Shen, MD, Chief Doctor, Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, No. 49 Huayuan North Road, Haidian District, Beijing 100191, China. shenning1972@126.com
Received: November 1, 2022
Peer-review started: November 1, 2022
First decision: January 30, 2023
Revised: February 12, 2023
Accepted: March 17, 2023
Article in press: March 17, 2023
Published online: April 26, 2023