Agile analytics to support rapid knowledge pipelines

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Autores principales: Wade L. Schulz, Joseph C. Kvedar, Harlan M. Krumholz
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/4dc2267539484c7f9b638226d49e300f
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spelling oai:doaj.org-article:4dc2267539484c7f9b638226d49e300f2021-12-02T17:08:21ZAgile analytics to support rapid knowledge pipelines10.1038/s41746-020-00309-z2398-6352https://doaj.org/article/4dc2267539484c7f9b638226d49e300f2020-08-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-00309-zhttps://doaj.org/toc/2398-6352Wade L. SchulzJoseph C. KvedarHarlan M. KrumholzNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-2 (2020)
institution DOAJ
collection DOAJ
language EN
topic Computer applications to medicine. Medical informatics
R858-859.7
spellingShingle Computer applications to medicine. Medical informatics
R858-859.7
Wade L. Schulz
Joseph C. Kvedar
Harlan M. Krumholz
Agile analytics to support rapid knowledge pipelines
format article
author Wade L. Schulz
Joseph C. Kvedar
Harlan M. Krumholz
author_facet Wade L. Schulz
Joseph C. Kvedar
Harlan M. Krumholz
author_sort Wade L. Schulz
title Agile analytics to support rapid knowledge pipelines
title_short Agile analytics to support rapid knowledge pipelines
title_full Agile analytics to support rapid knowledge pipelines
title_fullStr Agile analytics to support rapid knowledge pipelines
title_full_unstemmed Agile analytics to support rapid knowledge pipelines
title_sort agile analytics to support rapid knowledge pipelines
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/4dc2267539484c7f9b638226d49e300f
work_keys_str_mv AT wadelschulz agileanalyticstosupportrapidknowledgepipelines
AT josephckvedar agileanalyticstosupportrapidknowledgepipelines
AT harlanmkrumholz agileanalyticstosupportrapidknowledgepipelines
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