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POSA310 Artificial Intelligence Applied on Administrative Big Data to Predict the Severity of SARS-COV-2 Infection
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Published by Elsevier Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769658/ http://dx.doi.org/10.1016/j.jval.2021.11.969 |
| _version_ | 1784635198887952384 |
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| author | Iacolare, B Perrone, V Sangiorgi, D Ghigi, A Giacomini, E Nappi, C Paoli, D Ancona, DD Andretta, M Barbieri, A Bartolini, F Cavaliere, A Ciaccia, A Citraro, R Dell'Orco, S Ferrante, F Gentile, S Grego, S Procacci, C Ubertazzo, L Vercellone, A Degli Esposti, L |
| author_facet | Iacolare, B Perrone, V Sangiorgi, D Ghigi, A Giacomini, E Nappi, C Paoli, D Ancona, DD Andretta, M Barbieri, A Bartolini, F Cavaliere, A Ciaccia, A Citraro, R Dell'Orco, S Ferrante, F Gentile, S Grego, S Procacci, C Ubertazzo, L Vercellone, A Degli Esposti, L |
| author_sort | Iacolare, B |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8769658 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Published by Elsevier Inc. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-87696582022-01-20 POSA310 Artificial Intelligence Applied on Administrative Big Data to Predict the Severity of SARS-COV-2 Infection Iacolare, B Perrone, V Sangiorgi, D Ghigi, A Giacomini, E Nappi, C Paoli, D Ancona, DD Andretta, M Barbieri, A Bartolini, F Cavaliere, A Ciaccia, A Citraro, R Dell'Orco, S Ferrante, F Gentile, S Grego, S Procacci, C Ubertazzo, L Vercellone, A Degli Esposti, L Value Health Article Published by Elsevier Inc. 2022-01 2022-01-19 /pmc/articles/PMC8769658/ http://dx.doi.org/10.1016/j.jval.2021.11.969 Text en Copyright © 2021 Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
| spellingShingle | Article Iacolare, B Perrone, V Sangiorgi, D Ghigi, A Giacomini, E Nappi, C Paoli, D Ancona, DD Andretta, M Barbieri, A Bartolini, F Cavaliere, A Ciaccia, A Citraro, R Dell'Orco, S Ferrante, F Gentile, S Grego, S Procacci, C Ubertazzo, L Vercellone, A Degli Esposti, L POSA310 Artificial Intelligence Applied on Administrative Big Data to Predict the Severity of SARS-COV-2 Infection |
| title | POSA310 Artificial Intelligence Applied on Administrative Big Data to Predict the Severity of SARS-COV-2 Infection |
| title_full | POSA310 Artificial Intelligence Applied on Administrative Big Data to Predict the Severity of SARS-COV-2 Infection |
| title_fullStr | POSA310 Artificial Intelligence Applied on Administrative Big Data to Predict the Severity of SARS-COV-2 Infection |
| title_full_unstemmed | POSA310 Artificial Intelligence Applied on Administrative Big Data to Predict the Severity of SARS-COV-2 Infection |
| title_short | POSA310 Artificial Intelligence Applied on Administrative Big Data to Predict the Severity of SARS-COV-2 Infection |
| title_sort | posa310 artificial intelligence applied on administrative big data to predict the severity of sars-cov-2 infection |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769658/ http://dx.doi.org/10.1016/j.jval.2021.11.969 |
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