IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-021-21044-3.html
   My bibliography  Save this article

Addendum: Early triage of critically ill COVID-19 patients using deep learning

Author

Listed:
  • Wenhua Liang

    (The First Affiliated Hospital of Guangzhou Medical University)

  • Jianhua Yao

    (Tencent AI Lab)

  • Ailan Chen

    (The First Affiliated Hospital of Guangzhou Medical University
    Hankou Hospital)

  • Qingquan Lv

    (Hankou Hospital)

  • Mark Zanin

    (The University of Hong Kong)

  • Jun Liu

    (The First Affiliated Hospital of Guangzhou Medical University
    The First Affiliated Hospital of Guangzhou Medical University)

  • SookSan Wong

    (The First Affiliated Hospital of Guangzhou Medical University)

  • Yimin Li

    (The First Affiliated Hospital of Guangzhou Medical University)

  • Jiatao Lu

    (Hankou Hospital)

  • Hengrui Liang

    (The First Affiliated Hospital of Guangzhou Medical University
    The First Affiliated Hospital of Guangzhou Medical University)

  • Guoqiang Chen

    (Foshan Hospital)

  • Haiyan Guo

    (Foshan Hospital)

  • Jun Guo

    (Daye Hospital)

  • Rong Zhou

    (The First Affiliated Hospital of Guangzhou Medical University)

  • Limin Ou

    (The First Affiliated Hospital of Guangzhou Medical University)

  • Niyun Zhou

    (Tencent AI Lab)

  • Hanbo Chen

    (Tencent AI Lab)

  • Fan Yang

    (Tencent AI Lab)

  • Xiao Han

    (Tencent AI Lab)

  • Wenjing Huan

    (Tencent Healthcare)

  • Weimin Tang

    (Tencent Healthcare)

  • Weijie Guan

    (The First Affiliated Hospital of Guangzhou Medical University)

  • Zisheng Chen

    (The First Affiliated Hospital of Guangzhou Medical University
    The Sixth Affiliated Hospital of Guangzhou Medical University)

  • Yi Zhao

    (The First Affiliated Hospital of Guangzhou Medical University)

  • Ling Sang

    (The First Affiliated Hospital of Guangzhou Medical University)

  • Yuanda Xu

    (The First Affiliated Hospital of Guangzhou Medical University)

  • Wei Wang

    (The First Affiliated Hospital of Guangzhou Medical University)

  • Shiyue Li

    (The First Affiliated Hospital of Guangzhou Medical University)

  • Ligong Lu

    (Zhuhai People Hospital)

  • Nuofu Zhang

    (The First Affiliated Hospital of Guangzhou Medical University)

  • Nanshan Zhong

    (The First Affiliated Hospital of Guangzhou Medical University)

  • Junzhou Huang

    (Tencent AI Lab)

  • Jianxing He

    (The First Affiliated Hospital of Guangzhou Medical University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Wenhua Liang & Jianhua Yao & Ailan Chen & Qingquan Lv & Mark Zanin & Jun Liu & SookSan Wong & Yimin Li & Jiatao Lu & Hengrui Liang & Guoqiang Chen & Haiyan Guo & Jun Guo & Rong Zhou & Limin Ou & Niyun, 2021. "Addendum: Early triage of critically ill COVID-19 patients using deep learning," Nature Communications, Nature, vol. 12(1), pages 1-2, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21044-3
    DOI: 10.1038/s41467-021-21044-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-021-21044-3
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-021-21044-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21044-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.