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

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

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Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Wiley 2021
Materias:
Medicine (General)
R5-920
Acceso en línea:https://doaj.org/article/171ff92b67e740899a74410111557efa
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spelling oai:doaj.org-article:171ff92b67e740899a74410111557efa2021-11-11T12:06:41ZMachine learning algorithms utilizing blood parameters enable early detection of immunethrombotic dysregulation in COVID‐192001-132610.1002/ctm2.523https://doaj.org/article/171ff92b67e740899a74410111557efa2021-09-01T00:00:00Zhttps://doi.org/10.1002/ctm2.523https://doaj.org/toc/2001-1326Zhaoming ZhouXiang ZhouLiming ChengLei WenTaixue AnHeng GaoHongrong DengQi YanXinlu ZhangYoujiang LiYixing LiaoXin‐zu ChenBin NieJie ChengGuanhua DengShengqiang WangJuan LiHanqi YinMengxian ZhangLinbo CaiLei ZhengMinglun LiBleddyn JonesLonghua ChenAmir AbdollahiMeijuan ZhouPing‐Kun ZhouCheng ZhouWileyarticleMedicine (General)R5-920ENClinical and Translational Medicine, Vol 11, Iss 9, Pp n/a-n/a (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine (General)
R5-920
spellingShingle Medicine (General)
R5-920
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
Machine learning algorithms utilizing blood parameters enable early detection of immunethrombotic dysregulation in COVID‐19
format article
author 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
author_facet 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
author_sort Zhaoming Zhou
title Machine learning algorithms utilizing blood parameters enable early detection of immunethrombotic dysregulation in COVID‐19
title_short Machine learning algorithms utilizing blood parameters enable early detection of immunethrombotic dysregulation in COVID‐19
title_full Machine learning algorithms utilizing blood parameters enable early detection of immunethrombotic dysregulation in COVID‐19
title_fullStr Machine learning algorithms utilizing blood parameters enable early detection of immunethrombotic dysregulation in COVID‐19
title_full_unstemmed Machine learning algorithms utilizing blood parameters enable early detection of immunethrombotic dysregulation in COVID‐19
title_sort machine learning algorithms utilizing blood parameters enable early detection of immunethrombotic dysregulation in covid‐19
publisher Wiley
publishDate 2021
url https://doaj.org/article/171ff92b67e740899a74410111557efa
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