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Machine learning can improve the development of evidence-based dietary guidelines

Detalles Bibliográficos
Autores principales: Bodnar, Lisa M, Kirkpatrick, Sharon I, Naimi, Ashley I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9378580/
https://www.ncbi.nlm.nih.gov/pubmed/35757839
http://dx.doi.org/10.1017/S1368980022001392
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author Bodnar, Lisa M
Kirkpatrick, Sharon I
Naimi, Ashley I
author_facet Bodnar, Lisa M
Kirkpatrick, Sharon I
Naimi, Ashley I
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spelling pubmed-93785802022-09-01 Machine learning can improve the development of evidence-based dietary guidelines Bodnar, Lisa M Kirkpatrick, Sharon I Naimi, Ashley I Public Health Nutr Commentary Cambridge University Press 2022-09 2022-06-27 /pmc/articles/PMC9378580/ /pubmed/35757839 http://dx.doi.org/10.1017/S1368980022001392 Text en © The Authors 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Commentary
Bodnar, Lisa M
Kirkpatrick, Sharon I
Naimi, Ashley I
Machine learning can improve the development of evidence-based dietary guidelines
title Machine learning can improve the development of evidence-based dietary guidelines
title_full Machine learning can improve the development of evidence-based dietary guidelines
title_fullStr Machine learning can improve the development of evidence-based dietary guidelines
title_full_unstemmed Machine learning can improve the development of evidence-based dietary guidelines
title_short Machine learning can improve the development of evidence-based dietary guidelines
title_sort machine learning can improve the development of evidence-based dietary guidelines
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9378580/
https://www.ncbi.nlm.nih.gov/pubmed/35757839
http://dx.doi.org/10.1017/S1368980022001392
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