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PATIENT-SPECIFIC COVID-19 RESOURCE UTILIZATION PREDICTION USING FUSION AI MODEL
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American College of Cardiology Foundation. Published by Elsevier Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8091186/ http://dx.doi.org/10.1016/S0735-1097(21)04549-6 |
| _version_ | 1783687426220228608 |
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| author | Tariq, Amara Celi, Leo Newsome, Janice Purkayastha, Saptarchi Bhatia, Neal Merchant, Faisal Trivedi, Hari Gichoya, Judy Banerjee, Imon |
| author_facet | Tariq, Amara Celi, Leo Newsome, Janice Purkayastha, Saptarchi Bhatia, Neal Merchant, Faisal Trivedi, Hari Gichoya, Judy Banerjee, Imon |
| author_sort | Tariq, Amara |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8091186 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | American College of Cardiology Foundation. Published by Elsevier Inc. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-80911862021-05-03 PATIENT-SPECIFIC COVID-19 RESOURCE UTILIZATION PREDICTION USING FUSION AI MODEL Tariq, Amara Celi, Leo Newsome, Janice Purkayastha, Saptarchi Bhatia, Neal Merchant, Faisal Trivedi, Hari Gichoya, Judy Banerjee, Imon J Am Coll Cardiol Spotlight on Special Topics American College of Cardiology Foundation. Published by Elsevier Inc. 2021-05-11 2021-05-03 /pmc/articles/PMC8091186/ http://dx.doi.org/10.1016/S0735-1097(21)04549-6 Text en © 2021 American College of Cardiology Foundation 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 | Spotlight on Special Topics Tariq, Amara Celi, Leo Newsome, Janice Purkayastha, Saptarchi Bhatia, Neal Merchant, Faisal Trivedi, Hari Gichoya, Judy Banerjee, Imon PATIENT-SPECIFIC COVID-19 RESOURCE UTILIZATION PREDICTION USING FUSION AI MODEL |
| title | PATIENT-SPECIFIC COVID-19 RESOURCE UTILIZATION PREDICTION USING FUSION AI MODEL |
| title_full | PATIENT-SPECIFIC COVID-19 RESOURCE UTILIZATION PREDICTION USING FUSION AI MODEL |
| title_fullStr | PATIENT-SPECIFIC COVID-19 RESOURCE UTILIZATION PREDICTION USING FUSION AI MODEL |
| title_full_unstemmed | PATIENT-SPECIFIC COVID-19 RESOURCE UTILIZATION PREDICTION USING FUSION AI MODEL |
| title_short | PATIENT-SPECIFIC COVID-19 RESOURCE UTILIZATION PREDICTION USING FUSION AI MODEL |
| title_sort | patient-specific covid-19 resource utilization prediction using fusion ai model |
| topic | Spotlight on Special Topics |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8091186/ http://dx.doi.org/10.1016/S0735-1097(21)04549-6 |
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