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COVID-19 epidemic in a Respiratory Diseases Unit: predictor ranking and mining
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8107544/ https://www.ncbi.nlm.nih.gov/pubmed/34012603 http://dx.doi.org/10.21037/jtd-20-2934 |
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author | Stella, Giulia M. Piloni, Davide Accordino, Giulia Grosso, Amelia Albicini, Federica Gini, Erica Mancinelli, Silvia Della Zoppa, Matteo Marchelli, Andrea P. G. Bortolotto, Chandra Corsico, Angelo G. |
author_facet | Stella, Giulia M. Piloni, Davide Accordino, Giulia Grosso, Amelia Albicini, Federica Gini, Erica Mancinelli, Silvia Della Zoppa, Matteo Marchelli, Andrea P. G. Bortolotto, Chandra Corsico, Angelo G. |
author_sort | Stella, Giulia M. |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8107544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-81075442021-05-18 COVID-19 epidemic in a Respiratory Diseases Unit: predictor ranking and mining Stella, Giulia M. Piloni, Davide Accordino, Giulia Grosso, Amelia Albicini, Federica Gini, Erica Mancinelli, Silvia Della Zoppa, Matteo Marchelli, Andrea P. G. Bortolotto, Chandra Corsico, Angelo G. J Thorac Dis Letter to the Editor AME Publishing Company 2021-04 /pmc/articles/PMC8107544/ /pubmed/34012603 http://dx.doi.org/10.21037/jtd-20-2934 Text en 2021 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Letter to the Editor Stella, Giulia M. Piloni, Davide Accordino, Giulia Grosso, Amelia Albicini, Federica Gini, Erica Mancinelli, Silvia Della Zoppa, Matteo Marchelli, Andrea P. G. Bortolotto, Chandra Corsico, Angelo G. COVID-19 epidemic in a Respiratory Diseases Unit: predictor ranking and mining |
title | COVID-19 epidemic in a Respiratory Diseases Unit: predictor ranking and mining |
title_full | COVID-19 epidemic in a Respiratory Diseases Unit: predictor ranking and mining |
title_fullStr | COVID-19 epidemic in a Respiratory Diseases Unit: predictor ranking and mining |
title_full_unstemmed | COVID-19 epidemic in a Respiratory Diseases Unit: predictor ranking and mining |
title_short | COVID-19 epidemic in a Respiratory Diseases Unit: predictor ranking and mining |
title_sort | covid-19 epidemic in a respiratory diseases unit: predictor ranking and mining |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8107544/ https://www.ncbi.nlm.nih.gov/pubmed/34012603 http://dx.doi.org/10.21037/jtd-20-2934 |
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