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Predictive analytics by deep machine learning: A call for next‐gen tools to improve health care

Detalles Bibliográficos
Autor principal: Wells, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7040532/
https://www.ncbi.nlm.nih.gov/pubmed/32110747
http://dx.doi.org/10.1002/rth2.12297
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spelling pubmed-70405322020-02-27 Predictive analytics by deep machine learning: A call for next‐gen tools to improve health care Wells, Philip Res Pract Thromb Haemost Commentary John Wiley and Sons Inc. 2020-01-10 /pmc/articles/PMC7040532/ /pubmed/32110747 http://dx.doi.org/10.1002/rth2.12297 Text en © 2020 The Authors. Research and Practice in Thrombosis and Haemostasis published by Wiley Periodicals, Inc on behalf of International Society on Thrombosis and Haemostasis. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Commentary
Wells, Philip
Predictive analytics by deep machine learning: A call for next‐gen tools to improve health care
title Predictive analytics by deep machine learning: A call for next‐gen tools to improve health care
title_full Predictive analytics by deep machine learning: A call for next‐gen tools to improve health care
title_fullStr Predictive analytics by deep machine learning: A call for next‐gen tools to improve health care
title_full_unstemmed Predictive analytics by deep machine learning: A call for next‐gen tools to improve health care
title_short Predictive analytics by deep machine learning: A call for next‐gen tools to improve health care
title_sort predictive analytics by deep machine learning: a call for next‐gen tools to improve health care
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7040532/
https://www.ncbi.nlm.nih.gov/pubmed/32110747
http://dx.doi.org/10.1002/rth2.12297
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