Machine learning algorithms utilizing blood parameters enable early detection of immunethrombotic dysregulation in COVID-19

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Bibliographic Details
Main Authors:	Zhou, Zhao-Ming (Author) , Zhou, Xiang (Author) , Cheng, Liming (Author) , Wen, Lei (Author) , An, Taixue (Author) , Gao, Heng (Author) , Deng, Hongrong (Author) , Yan, Qi (Author) , Zhang, Xinlu (Author) , Li, Youjiang (Author) , Liao, Yixing (Author) , Chen, Xin-zu (Author) , Nie, Bin (Author) , Cheng, Jie (Author) , Deng, Guanhua (Author) , Wang, Shengqiang (Author) , Li, Juan (Author) , Yin, Hanqi (Author) , Zhang, Mengxian (Author) , Cai, Linbo (Author) , Zheng, Lei (Author) , Li, Minglun (Author) , Jones, Bleddyn (Author) , Chen, Longhua (Author) , Abdollahi, Amir (Author) , Zhou, Meijuan (Author) , Zhou, Ping-Kun (Author) , Zhou, Cheng (Author)
Format:	Article (Journal) Editorial
Language:	English
Published:	26 September 2021
In:	Clinical and translational medicine Year: 2021, Volume: 11, Issue: 9, Pages: 1-8
ISSN:	2001-1326
DOI:	10.1002/ctm2.523
Online Access:	Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1002/ctm2.523 Verlag, lizenzpflichtig, Volltext: https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=DynamicDOIArticle&SrcApp=WOS&KeyAID=10.1002%2Fctm2.523&DestApp=DOI&SrcAppSID=C1Cc5OsuWGWlp8FGcNh&SrcJTitle=CLINICAL+AND+TRANSLATIONAL+MEDICINE&DestDOIRegistrantName=Wiley+%28John+Wiley+%26+Sons%29
Author Notes:	Zhaoming Zhou, Xiang Zhou, Liming Cheng, Lei Wen, Taixue An, Heng Gao, Hongrong Deng, Qi Yan, Xinlu Zhang, Youjiang Li, Yixing Liao, Xin-zu Chen, Bin Nie, Jie Cheng, Guanhua Deng, Shengqiang Wang, Juan Li, Hanqi Yin, Mengxian Zhang, Linbo Cai, Lei Zheng, Minglun Li, Bleddyn Jones, Longhua Chen, Amir Abdollahi, Meijuan Zhou, Ping-Kun Zhou, Cheng Zhou

Description
Item Description:	Gesehen am 08.12.2021 Letter to the editor
Physical Description:	Online Resource
ISSN:	2001-1326
DOI:	10.1002/ctm2.523