Y
Yu Hu
Researcher at Huazhong University of Science and Technology
Publications - 487
Citations - 34645
Yu Hu is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 37, co-authored 435 publications receiving 24865 citations. Previous affiliations of Yu Hu include Chinese Ministry of Education & Guangzhou Medical University.
Papers
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Journal ArticleDOI
Clinical Characteristics of Coronavirus Disease 2019 in China.
Wei-jie Guan,Zhengyi Ni,Yu Hu,Wenhua Liang,Chun-Quan Ou,Jianxing He,Lei Liu,Hong Shan,Chunliang Lei,David S.C. Hui,Bin Du,Lanjuan Li,Guang Zeng,Kowk-Yung Yuen,Ruchong Chen,Chun-Li Tang,Tao Wang,Ping-Yan Chen,Jie Xiang,Shiyue Li,Jinlin Wang,Zi-jing Liang,Yi-xiang Peng,Li Wei,Yong Liu,Ya-hua Hu,Peng Peng,Jian-ming Wang,Ji-yang Liu,Zhong Chen,Gang Li,Zhi-jian Zheng,Shao-qin Qiu,Jie Luo,Chang-jiang Ye,Shao-yong Zhu,Nanshan Zhong +36 more
TL;DR: During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness, and patients often presented without fever, and many did not have abnormal radiologic findings.
Journal ArticleDOI
COVID-19 and Thrombotic or Thromboembolic Disease: Implications for Prevention, Antithrombotic Therapy, and Follow-up
Behnood Bikdeli,Mahesh V. Madhavan,David Jiménez,Taylor Chuich,Isaac Dreyfus,Elissa Driggin,Caroline Der Nigoghossian,Walter Ageno,Mohammad Madjid,Yutao Guo,Liang V. Tang,Yu Hu,Jay Giri,Mary Cushman,Isabelle Quéré,Evangelos Dimakakos,C. Michael Gibson,C. Michael Gibson,Giuseppe Lippi,Emmanuel J. Favaloro,Jawed Fareed,Joseph A. Caprini,Alfonso Tafur,John R. Burton,Dominic P. Francese,Elizabeth Y. Wang,Anna Falanga,Claire McLintock,Beverley J. Hunt,Alex C. Spyropoulos,Geoffrey D. Barnes,John W. Eikelboom,John W. Eikelboom,Ido Weinberg,Sam Schulman,Marc Carrier,Gregory Piazza,Gregory Piazza,Joshua A. Beckman,P. Gabriel Steg,Gregg W. Stone,Stephan Rosenkranz,Samuel Z. Goldhaber,Samuel Z. Goldhaber,Sahil A. Parikh,Manuel Monreal,Harlan M. Krumholz,Stavros Konstantinides,Jeffrey I. Weitz,Gregory Y.H. Lip,Gregory Y.H. Lip +50 more
TL;DR: The current understanding of the pathogenesis, epidemiology, management and outcomes of patients with COVID-19 who develop venous or arterial thrombosis, and of those with preexistingThrombotic disease who develop CO VID-19 are reviewed.
Posted ContentDOI
Clinical characteristics of 2019 novel coronavirus infection in China
Wei-jie Guan,Zhengyi Ni,Yu Hu,Wenhua Liang,Chun-Quan Ou,Jianxing He,Lei Liu,Hong Shan,Chunliang Lei,David S.C. Hui,Bin Du,Lanjuan Li,Guang Zeng,Kowk-Yung Yuen,Ruchong Chen,Chun-Li Tang,Tao Wang,Ping-Yan Chen,Jie Xiang,Shiyue Li,Jinlin Wang,Zi-jing Liang,Yi-xiang Peng,Li Wei,Yong Liu,Ya-hua Hu,Peng Peng,Jian-ming Wang,Ji-yang Liu,Zhong Chen,Gang Li,Zhi-jian Zheng,Shao-qin Qiu,Jie Luo,Chang-jiang Ye,Shao-yong Zhu,Nanshan Zhong +36 more
TL;DR: The 2019-nCoV epidemic spreads rapidly by human-to-human transmission and the disease severity (including oxygen saturation, respiratory rate, blood leukocyte/lymphocyte count and chest X-ray/CT manifestations) predict poor clinical outcomes.
Posted ContentDOI
Comorbidity and its impact on 1,590 patients with COVID-19 in China: A Nationwide Analysis
Wei-jie Guan,Wenhua Liang,Yi Zhao,Hengrui Liang,Zisheng Chen,Yimin Li,Xiaoqing Liu,Ruchong Chen,Chun-Li Tang,Tao Wang,Chun-Quan Ou,Li Li,Ping-Yan Chen,Ling Sang,Wei Wang,Jianfu Li,Caichen Li,Limin Ou,Bo Cheng,Shan Xiong,Zhengyi Ni,Jie Xiang,Yu Hu,Lei Liu,Hong Shan,Chunliang Lei,Yi-xiang Peng,Li Wei,Yong Liu,Ya-hua Hu,Peng Peng,Jian-ming Wang,Ji-yang Liu,Zhong Chen,Gang Li,Zhi-jian Zheng,Shao-qin Qiu,Jie Luo,Chang-jiang Ye,Shao-yong Zhu,Linling Cheng,Feng Ye,Shiyue Li,Jinping Zheng,Nuofu Zhang,Nanshan Zhong,Jianxing He +46 more
TL;DR: Comorbidities are present in around one fourth of patients with COVID-19 in China, and predispose to poorer clinical outcomes, and have significantly escalated risks of reaching to the composite endpoint compared with those who had a single comorbidity.
Journal ArticleDOI
Scaling for edge inference of deep neural networks
TL;DR: There are increasing gaps between the computational complexity and energy efficiency required for the continued scaling of deep neural networks and the hardware capacity actually available with current CMOS technology scaling, in situations where edge inference is required.