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COVID-19 pneumonia: different respiratory treatments for different phenotypes?
COVID-19 pneumonia: different respiratory treatments for different phenotypes?
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COVID-19 pneumonia: different respiratory treatments for different phenotypes?

Gattinoni, Luciano ; Chiumello, Davide ; Caironi, Pietro ; Busana, Mattia ; Romitti, Federica ; Brazzi, Luca ; Camporota, Luigi

Intensive care medicine, 2020-06, Vol.46 (6), p.1099-1102 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Automated detection of COVID-19 cases using deep neural networks with X-ray images
Automated detection of COVID-19 cases using deep neural networks with X-ray images
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Automated detection of COVID-19 cases using deep neural networks with X-ray images

Ozturk, Tulin ; Talo, Muhammed ; Yildirim, Eylul Azra ; Baloglu, Ulas Baran ; Yildirim, Ozal ; Rajendra Acharya, U.

Computers in biology and medicine, 2020-06, Vol.121, p.103792-103792, Article 103792 [Periódico revisado por pares]

United States: Elsevier Ltd

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3
Plasma Proteomics Identify Biomarkers and Pathogenesis of COVID-19
Plasma Proteomics Identify Biomarkers and Pathogenesis of COVID-19
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Plasma Proteomics Identify Biomarkers and Pathogenesis of COVID-19

Shu, Ting ; Ning, Wanshan ; Wu, Di ; Xu, Jiqian ; Han, Qiangqiang ; Huang, Muhan ; Zou, Xiaojing ; Yang, Qingyu ; Yuan, Yang ; Bie, Yuanyuan ; Pan, Shangwen ; Mu, Jingfang ; Han, Yang ; Yang, Xiaobo ; Zhou, Hong ; Li, Ruiting ; Ren, Yujie ; Chen, Xi ; Yao, Shanglong ; Qiu, Yang ; Zhang, Ding-Yu ; Xue, Yu ; Shang, You ; Zhou, Xi

Immunity (Cambridge, Mass.), 2020-11, Vol.53 (5), p.1108-1122.e5 [Periódico revisado por pares]

United States: Elsevier Inc

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Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection
Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection
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Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection

Messner, Christoph B. ; Demichev, Vadim ; Wendisch, Daniel ; Michalick, Laura ; White, Matthew ; Freiwald, Anja ; Textoris-Taube, Kathrin ; Vernardis, Spyros I. ; Egger, Anna-Sophia ; Kreidl, Marco ; Ludwig, Daniela ; Kilian, Christiane ; Agostini, Federica ; Zelezniak, Aleksej ; Thibeault, Charlotte ; Pfeiffer, Moritz ; Hippenstiel, Stefan ; Hocke, Andreas ; von Kalle, Christof ; Campbell, Archie ; Hayward, Caroline ; Porteous, David J. ; Marioni, Riccardo E. ; Langenberg, Claudia ; Lilley, Kathryn S. ; Kuebler, Wolfgang M. ; Mülleder, Michael ; Drosten, Christian ; Suttorp, Norbert ; Witzenrath, Martin ; Kurth, Florian ; Sander, Leif Erik ; Ralser, Markus

Cell systems, 2020-07, Vol.11 (1), p.11-24.e4 [Periódico revisado por pares]

United States: Elsevier Inc

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5
Haematological characteristics and risk factors in the classification and prognosis evaluation of COVID-19: a retrospective cohort study
Haematological characteristics and risk factors in the classification and prognosis evaluation of COVID-19: a retrospective cohort study
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Haematological characteristics and risk factors in the classification and prognosis evaluation of COVID-19: a retrospective cohort study

Liao, Danying ; Zhou, Fen ; Luo, Lili ; Xu, Min ; Wang, Hongbo ; Xia, Jiahong ; Gao, Yong ; Cai, Liqiong ; Wang, Zhihui ; Yin, Ping ; Wang, Yadan ; Tang, Lu ; Deng, Jun ; Mei, Heng ; Hu, Yu

The Lancet. Haematology, 2020-09, Vol.7 (9), p.e671-e678 [Periódico revisado por pares]

England: Elsevier Ltd

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6
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT
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Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT

Sun, Liang ; Mo, Zhanhao ; Yan, Fuhua ; Xia, Liming ; Shan, Fei ; Ding, Zhongxiang ; Song, Bin ; Gao, Wanchun ; Shao, Wei ; Shi, Feng ; Yuan, Huan ; Jiang, Huiting ; Wu, Dijia ; Wei, Ying ; Gao, Yaozong ; Sui, He ; Zhang, Daoqiang ; Shen, Dinggang

IEEE journal of biomedical and health informatics, 2020-10, Vol.24 (10), p.2798-2805 [Periódico revisado por pares]

United States: IEEE

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7
Classification system and case definition for SARS‐CoV‐2 infection in pregnant women, fetuses, and neonates
Classification system and case definition for SARS‐CoV‐2 infection in pregnant women, fetuses, and neonates
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Classification system and case definition for SARS‐CoV‐2 infection in pregnant women, fetuses, and neonates

Shah, Prakesh S. ; Diambomba, Yenge ; Acharya, Ganesh ; Morris, Shaun K. ; Bitnun, Ari

Acta obstetricia et gynecologica Scandinavica, 2020-05, Vol.99 (5), p.565-568 [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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8
Discriminant Accuracy of the SOFA Score for Determining the Probable Mortality of Patients With COVID-19 Pneumonia Requiring Mechanical Ventilation
Discriminant Accuracy of the SOFA Score for Determining the Probable Mortality of Patients With COVID-19 Pneumonia Requiring Mechanical Ventilation
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Discriminant Accuracy of the SOFA Score for Determining the Probable Mortality of Patients With COVID-19 Pneumonia Requiring Mechanical Ventilation

Raschke, Robert A ; Agarwal, Sumit ; Rangan, Pooja ; Heise, C. William ; Curry, Steven C

JAMA : the journal of the American Medical Association, 2021-04, Vol.325 (14), p.1469-1470 [Periódico revisado por pares]

United States: American Medical Association

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9
Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification
Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification
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Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification

Wang, Zhao ; Liu, Quande ; Dou, Qi

IEEE journal of biomedical and health informatics, 2020-10, Vol.24 (10), p.2806-2813 [Periódico revisado por pares]

United States: IEEE

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10
Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images
Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images
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Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images

Yamac, Mehmet ; Ahishali, Mete ; Degerli, Aysen ; Kiranyaz, Serkan ; Chowdhury, Muhammad E. H. ; Gabbouj, Moncef

IEEE transaction on neural networks and learning systems, 2021-05, Vol.32 (5), p.1810-1820

United States: IEEE

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