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P.0086 Clinical and psychopathological predictors of fatigue in COVID-19 survivors: a machine learning study
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Published by Elsevier B.V.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716294/ http://dx.doi.org/10.1016/j.euroneuro.2021.10.086 |
| _version_ | 1784624295053361152 |
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| author | Mazza, M.G. Palladini, M. Poletti, S. Benedetti, F. |
| author_facet | Mazza, M.G. Palladini, M. Poletti, S. Benedetti, F. |
| author_sort | Mazza, M.G. |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8716294 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Published by Elsevier B.V. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-87162942021-12-30 P.0086 Clinical and psychopathological predictors of fatigue in COVID-19 survivors: a machine learning study Mazza, M.G. Palladini, M. Poletti, S. Benedetti, F. Eur Neuropsychopharmacol Article Published by Elsevier B.V. 2021-12 2021-12-30 /pmc/articles/PMC8716294/ http://dx.doi.org/10.1016/j.euroneuro.2021.10.086 Text en Copyright © 2021 Published by Elsevier B.V. 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 Mazza, M.G. Palladini, M. Poletti, S. Benedetti, F. P.0086 Clinical and psychopathological predictors of fatigue in COVID-19 survivors: a machine learning study |
| title | P.0086 Clinical and psychopathological predictors of fatigue in COVID-19 survivors: a machine learning study |
| title_full | P.0086 Clinical and psychopathological predictors of fatigue in COVID-19 survivors: a machine learning study |
| title_fullStr | P.0086 Clinical and psychopathological predictors of fatigue in COVID-19 survivors: a machine learning study |
| title_full_unstemmed | P.0086 Clinical and psychopathological predictors of fatigue in COVID-19 survivors: a machine learning study |
| title_short | P.0086 Clinical and psychopathological predictors of fatigue in COVID-19 survivors: a machine learning study |
| title_sort | p.0086 clinical and psychopathological predictors of fatigue in covid-19 survivors: a machine learning study |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716294/ http://dx.doi.org/10.1016/j.euroneuro.2021.10.086 |
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