New machine learning model predicts who may benefit most from COVID-19 vaccination
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Nature Portfolio
2021
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oai:doaj.org-article:9a6623c38847449e9f49ce992e2d766c2021-12-02T17:04:08ZNew machine learning model predicts who may benefit most from COVID-19 vaccination10.1038/s41746-021-00425-42398-6352https://doaj.org/article/9a6623c38847449e9f49ce992e2d766c2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41746-021-00425-4https://doaj.org/toc/2398-6352Leia WedlundJoseph KvedarNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 4, Iss 1, Pp 1-1 (2021) |
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DOAJ |
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DOAJ |
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EN |
topic |
Computer applications to medicine. Medical informatics R858-859.7 |
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Computer applications to medicine. Medical informatics R858-859.7 Leia Wedlund Joseph Kvedar New machine learning model predicts who may benefit most from COVID-19 vaccination |
format |
article |
author |
Leia Wedlund Joseph Kvedar |
author_facet |
Leia Wedlund Joseph Kvedar |
author_sort |
Leia Wedlund |
title |
New machine learning model predicts who may benefit most from COVID-19 vaccination |
title_short |
New machine learning model predicts who may benefit most from COVID-19 vaccination |
title_full |
New machine learning model predicts who may benefit most from COVID-19 vaccination |
title_fullStr |
New machine learning model predicts who may benefit most from COVID-19 vaccination |
title_full_unstemmed |
New machine learning model predicts who may benefit most from COVID-19 vaccination |
title_sort |
new machine learning model predicts who may benefit most from covid-19 vaccination |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/9a6623c38847449e9f49ce992e2d766c |
work_keys_str_mv |
AT leiawedlund newmachinelearningmodelpredictswhomaybenefitmostfromcovid19vaccination AT josephkvedar newmachinelearningmodelpredictswhomaybenefitmostfromcovid19vaccination |
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1718381862631505920 |