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Editorial: Women in AI medicine and public health 2022

Detalles Bibliográficos
Autores principales: Chang, Lin-Ching, Angelopoulou, Anastasia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614155/
https://www.ncbi.nlm.nih.gov/pubmed/37908455
http://dx.doi.org/10.3389/fdata.2023.1303367
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author Chang, Lin-Ching
Angelopoulou, Anastasia
author_facet Chang, Lin-Ching
Angelopoulou, Anastasia
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spelling pubmed-106141552023-10-31 Editorial: Women in AI medicine and public health 2022 Chang, Lin-Ching Angelopoulou, Anastasia Front Big Data Big Data Frontiers Media S.A. 2023-10-13 /pmc/articles/PMC10614155/ /pubmed/37908455 http://dx.doi.org/10.3389/fdata.2023.1303367 Text en Copyright © 2023 Chang and Angelopoulou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Big Data
Chang, Lin-Ching
Angelopoulou, Anastasia
Editorial: Women in AI medicine and public health 2022
title Editorial: Women in AI medicine and public health 2022
title_full Editorial: Women in AI medicine and public health 2022
title_fullStr Editorial: Women in AI medicine and public health 2022
title_full_unstemmed Editorial: Women in AI medicine and public health 2022
title_short Editorial: Women in AI medicine and public health 2022
title_sort editorial: women in ai medicine and public health 2022
topic Big Data
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614155/
https://www.ncbi.nlm.nih.gov/pubmed/37908455
http://dx.doi.org/10.3389/fdata.2023.1303367
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