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ML2 Supervised Machine Learning Predicts Mortality in COVID-19 Patients Using Electronic Health Records
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8177597/ http://dx.doi.org/10.1016/j.jval.2021.04.056 |
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author | Marinaro, X. Meng, Z. Zhang, X. Lodaya, K. Hayashida, D.K. Munson, S. D'Souza, F. |
author_facet | Marinaro, X. Meng, Z. Zhang, X. Lodaya, K. Hayashida, D.K. Munson, S. D'Souza, F. |
author_sort | Marinaro, X. |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8177597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81775972021-06-05 ML2 Supervised Machine Learning Predicts Mortality in COVID-19 Patients Using Electronic Health Records Marinaro, X. Meng, Z. Zhang, X. Lodaya, K. Hayashida, D.K. Munson, S. D'Souza, F. Value Health Article Published by Elsevier Inc. 2021-06 2021-06-04 /pmc/articles/PMC8177597/ http://dx.doi.org/10.1016/j.jval.2021.04.056 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 Marinaro, X. Meng, Z. Zhang, X. Lodaya, K. Hayashida, D.K. Munson, S. D'Souza, F. ML2 Supervised Machine Learning Predicts Mortality in COVID-19 Patients Using Electronic Health Records |
title | ML2 Supervised Machine Learning Predicts Mortality in COVID-19 Patients Using Electronic Health Records |
title_full | ML2 Supervised Machine Learning Predicts Mortality in COVID-19 Patients Using Electronic Health Records |
title_fullStr | ML2 Supervised Machine Learning Predicts Mortality in COVID-19 Patients Using Electronic Health Records |
title_full_unstemmed | ML2 Supervised Machine Learning Predicts Mortality in COVID-19 Patients Using Electronic Health Records |
title_short | ML2 Supervised Machine Learning Predicts Mortality in COVID-19 Patients Using Electronic Health Records |
title_sort | ml2 supervised machine learning predicts mortality in covid-19 patients using electronic health records |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8177597/ http://dx.doi.org/10.1016/j.jval.2021.04.056 |
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