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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?

Intensive care medicine, 2020-06, Vol.46 (6), p.1099-1102 [Peer Reviewed Journal]

The Author(s) 2020 ;COPYRIGHT 2020 Springer ;The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0342-4642 ;EISSN: 1432-1238 ;DOI: 10.1007/s00134-020-06033-2 ;PMID: 32291463

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2
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

Computers in biology and medicine, 2020-06, Vol.121, p.103792-103792, Article 103792 [Peer Reviewed Journal]

2020 Elsevier Ltd ;Copyright © 2020 Elsevier Ltd. All rights reserved. ;2020. Elsevier Ltd ;2020 Elsevier Ltd. All rights reserved. 2020 Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2020.103792 ;PMID: 32568675

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3
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

Acta obstetricia et gynecologica Scandinavica, 2020-05, Vol.99 (5), p.565-568 [Peer Reviewed Journal]

2020 Nordic Federation of Societies of Obstetrics and Gynecology ;Copyright © 2020 Acta Obstetricia et Gynecologica Scandinavica ;ISSN: 0001-6349 ;ISSN: 1600-0412 ;EISSN: 1600-0412 ;DOI: 10.1111/aogs.13870 ;PMID: 32277845

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4
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

Immunity, 2020-11, Vol.53 (5), p.1108-1122.e5 [Peer Reviewed Journal]

2020 Elsevier Inc. ;Copyright © 2020 Elsevier Inc. All rights reserved. ;2020. Not withstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.elsevier.com/legal/elsevier-website-terms-and-conditions ;2020. Elsevier Inc. ;2020 Elsevier Inc. 2020 Elsevier Inc. ;ISSN: 1074-7613 ;EISSN: 1097-4180 ;DOI: 10.1016/j.immuni.2020.10.008 ;PMID: 33128875

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5
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

Cell Systems, 2020-07, Vol.11 (1), p.11 [Peer Reviewed Journal]

2020. Not withstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.elsevier.com/legal/elsevier-website-terms-and-conditions ;ISSN: 2405-4720 ;ISSN: 2405-4712 ;EISSN: 2405-4720 ;DOI: 10.1016/j.cels.2020.05.012

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6
Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis
Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis
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Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis

BMC medical informatics and decision making, 2020-09, Vol.20 (1), p.247-247, Article 247 [Peer Reviewed Journal]

COPYRIGHT 2020 BioMed Central Ltd. ;2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-020-01266-z ;PMID: 32993652

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7
COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review
COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review
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COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review

Computers in biology and medicine, 2020-09, Vol.124, p.103960-103960, Article 103960 [Peer Reviewed Journal]

2020 Elsevier Ltd ;Copyright © 2020 Elsevier Ltd. All rights reserved. ;2020. Elsevier Ltd ;2020 Elsevier Ltd. All rights reserved. 2020 Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2020.103960 ;PMID: 32919186

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8
Classification of COVID-19 in intensive care patients
Classification of COVID-19 in intensive care patients
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Classification of COVID-19 in intensive care patients

Critical care (London, England), 2020-07, Vol.24 (1), p.399-399, Article 399 [Peer Reviewed Journal]

COPYRIGHT 2020 BioMed Central Ltd. ;2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 1364-8535 ;EISSN: 1466-609X ;DOI: 10.1186/s13054-020-03127-7 ;PMID: 32646506

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9
Glasgow Early Treatment Arm Favirpiravir (GETAFIX) for adults with early stage COVID-19: A structured summary of a study protocol for a randomised controlled trial
Glasgow Early Treatment Arm Favirpiravir (GETAFIX) for adults with early stage COVID-19: A structured summary of a study protocol for a randomised controlled trial
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Glasgow Early Treatment Arm Favirpiravir (GETAFIX) for adults with early stage COVID-19: A structured summary of a study protocol for a randomised controlled trial

Current controlled trials in cardiovascular medicine, 2020-11, Vol.21 (1), p.935-3, Article 935 [Peer Reviewed Journal]

The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 1745-6215 ;EISSN: 1745-6215 ;EISSN: 1468-6694 ;DOI: 10.1186/s13063-020-04891-1 ;PMID: 33213530

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10
The need for a universal language during the COVID-19 pandemic: Lessons learned from the Middle East Cancer Consortium (MECC)
The need for a universal language during the COVID-19 pandemic: Lessons learned from the Middle East Cancer Consortium (MECC)
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The need for a universal language during the COVID-19 pandemic: Lessons learned from the Middle East Cancer Consortium (MECC)

Palliative & supportive care, 2020-12, Vol.18 (6), p.757-758 [Peer Reviewed Journal]

Copyright © The Author(s), 2020. Published by Cambridge University Press ;ISSN: 1478-9515 ;EISSN: 1478-9523 ;DOI: 10.1017/S1478951520001054 ;PMID: 33213595

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11
Voice from China: nomenclature of the novel coronavirus and related diseases
Voice from China: nomenclature of the novel coronavirus and related diseases
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Voice from China: nomenclature of the novel coronavirus and related diseases

Chinese medical journal, 2020-05, Vol.133 (9), p.1012-1014 [Peer Reviewed Journal]

Copyright © 2020 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2020 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. 2020 ;ISSN: 0366-6999 ;EISSN: 2542-5641 ;DOI: 10.1097/CM9.0000000000000787 ;PMID: 32118646

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12
Number of COVID-19 patients classified as cured: an imminent danger for the population
Number of COVID-19 patients classified as cured: an imminent danger for the population
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Number of COVID-19 patients classified as cured: an imminent danger for the population

Einstein (São Paulo, Brazil), 2020-01, Vol.18, p.eCE6146-eCE6146

ISSN: 1679-4508 ;EISSN: 2317-6385 ;DOI: 10.31744/einstein_journal/2020CE6146 ;PMID: 33111812

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13
A Call for Consistency in the Official Naming of the Disease Caused by Severe Acute Respiratory Syndrome Coronavirus 2 in Non-English Languages
A Call for Consistency in the Official Naming of the Disease Caused by Severe Acute Respiratory Syndrome Coronavirus 2 in Non-English Languages
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A Call for Consistency in the Official Naming of the Disease Caused by Severe Acute Respiratory Syndrome Coronavirus 2 in Non-English Languages

Disaster Medicine and Public Health Preparedness, 2020-06, Vol.14 (3), p.e25-e26 [Peer Reviewed Journal]

Copyright © 2020 Society for Disaster Medicine and Public Health, Inc. ;2020 This article is published under (https://creativecommons.org/licenses/by/3.0/) (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020. Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the associated terms available at https://www.stm-assoc.org/about-the-industry/coronavirus-2019-ncov/. ;Society for Disaster Medicine and Public Health, Inc. 2020 2020 Society for Disaster Medicine and Public Health, Inc. ;ISSN: 1935-7893 ;EISSN: 1938-744X ;DOI: 10.1017/dmp.2020.169 ;PMID: 32438943

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14
Defining COVID-19 as a Disaster Helps Guide Public Mental Health Policy
Defining COVID-19 as a Disaster Helps Guide Public Mental Health Policy
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Defining COVID-19 as a Disaster Helps Guide Public Mental Health Policy

Disaster Medicine and Public Health Preparedness, 2020-08, Vol.14 (4), p.e44-e45 [Peer Reviewed Journal]

Society for Disaster Medicine and Public Health, Inc. 2020 ;2020 This article is published under (https://creativecommons.org/licenses/by/3.0/) (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020. Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the associated terms available at https://www.stm-assoc.org/about-the-industry/coronavirus-2019-ncov/. ;2020. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Society for Disaster Medicine and Public Health, Inc. 2020 2020 Society for Disaster Medicine and Public Health, Inc. ;ISSN: 1935-7893 ;EISSN: 1938-744X ;DOI: 10.1017/dmp.2020.301 ;PMID: 32782058

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15
CT imaging features of patients with different clinical types of COVID-19
CT imaging features of patients with different clinical types of COVID-19
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CT imaging features of patients with different clinical types of COVID-19

Zhejiang da xue xue bao. Journal of Zhejiang University. Medical sciences. Yi xue ban, 2020-05, Vol.49 (2), p.198-202

ISSN: 1008-9292 ;DOI: 10.3785/j.issn.1008-9292.2020.03.05 ;PMID: 32391664

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16
World Health Organization declares post-pandemic phase
World Health Organization declares post-pandemic phase
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World Health Organization declares post-pandemic phase

Euro surveillance : bulletin européen sur les maladies transmissibles, 2010-08, Vol.15 (32), p.21 [Peer Reviewed Journal]

ISSN: 1025-496X ;EISSN: 1560-7917 ;PMID: 20738993

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17
Early use of ICD-10-CM code "U07.1, COVID-19" to identify 2019 novel coronavirus cases in Military Health System administrative data
Early use of ICD-10-CM code "U07.1, COVID-19" to identify 2019 novel coronavirus cases in Military Health System administrative data
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Early use of ICD-10-CM code "U07.1, COVID-19" to identify 2019 novel coronavirus cases in Military Health System administrative data

MSMR (U.S. Army Center for Health Promotion and Preventive Medicine, Executive Communications Division), 2020-05, Vol.27 (5), p.55-59

EISSN: 2152-8217 ;PMID: 32479104

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18
Implementation of Principal Component Analysis and Learning Vector Quantization for Classification of Food Nutrition Status
Implementation of Principal Component Analysis and Learning Vector Quantization for Classification of Food Nutrition Status
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Implementation of Principal Component Analysis and Learning Vector Quantization for Classification of Food Nutrition Status

Juita : jurnal informatika (Online), 2022-05, Vol.10 (1), p.19-28 [Peer Reviewed Journal]

ISSN: 2086-9398 ;EISSN: 2579-8901 ;DOI: 10.30595/juita.v10i1.11104

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