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Machine learning models for predicting diagnosis or prognosis of COVID-19: A systematic review
| 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/PMC8157316/ http://dx.doi.org/10.1016/j.cmpb.2021.105993 |
| _version_ | 1783699655162331136 |
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| author | Dabbagh, Rufaidah Jamal, Amr Temsah, Mohamad-Hani Masud, Jakir Hossain Bhuiyan Titi, Maher Amer, Yasser Alkubeyyer, Metab Alhazmi, Taha Baothman, Fatimah Hneiny, Layal |
| author_facet | Dabbagh, Rufaidah Jamal, Amr Temsah, Mohamad-Hani Masud, Jakir Hossain Bhuiyan Titi, Maher Amer, Yasser Alkubeyyer, Metab Alhazmi, Taha Baothman, Fatimah Hneiny, Layal |
| author_sort | Dabbagh, Rufaidah |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8157316 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Published by Elsevier B.V. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-81573162021-05-28 Machine learning models for predicting diagnosis or prognosis of COVID-19: A systematic review Dabbagh, Rufaidah Jamal, Amr Temsah, Mohamad-Hani Masud, Jakir Hossain Bhuiyan Titi, Maher Amer, Yasser Alkubeyyer, Metab Alhazmi, Taha Baothman, Fatimah Hneiny, Layal Comput Methods Programs Biomed Article Published by Elsevier B.V. 2021-06 2021-05-27 /pmc/articles/PMC8157316/ http://dx.doi.org/10.1016/j.cmpb.2021.105993 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 Dabbagh, Rufaidah Jamal, Amr Temsah, Mohamad-Hani Masud, Jakir Hossain Bhuiyan Titi, Maher Amer, Yasser Alkubeyyer, Metab Alhazmi, Taha Baothman, Fatimah Hneiny, Layal Machine learning models for predicting diagnosis or prognosis of COVID-19: A systematic review |
| title | Machine learning models for predicting diagnosis or prognosis of COVID-19: A systematic review |
| title_full | Machine learning models for predicting diagnosis or prognosis of COVID-19: A systematic review |
| title_fullStr | Machine learning models for predicting diagnosis or prognosis of COVID-19: A systematic review |
| title_full_unstemmed | Machine learning models for predicting diagnosis or prognosis of COVID-19: A systematic review |
| title_short | Machine learning models for predicting diagnosis or prognosis of COVID-19: A systematic review |
| title_sort | machine learning models for predicting diagnosis or prognosis of covid-19: a systematic review |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157316/ http://dx.doi.org/10.1016/j.cmpb.2021.105993 |
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