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Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8526547/ https://www.ncbi.nlm.nih.gov/pubmed/34713208 http://dx.doi.org/10.3389/fdgth.2021.763109 |
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author | Qian, Kun Zhang, Liang Li, Kezhi Liu, Juan |
author_facet | Qian, Kun Zhang, Liang Li, Kezhi Liu, Juan |
author_sort | Qian, Kun |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8526547 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85265472021-10-27 Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics Qian, Kun Zhang, Liang Li, Kezhi Liu, Juan Front Digit Health Digital Health Frontiers Media S.A. 2021-10-06 /pmc/articles/PMC8526547/ /pubmed/34713208 http://dx.doi.org/10.3389/fdgth.2021.763109 Text en Copyright © 2021 Qian, Zhang, Li and Liu. 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 | Digital Health Qian, Kun Zhang, Liang Li, Kezhi Liu, Juan Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics |
title | Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics |
title_full | Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics |
title_fullStr | Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics |
title_full_unstemmed | Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics |
title_short | Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics |
title_sort | editorial: machine learning for non/less-invasive methods in health informatics |
topic | Digital Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8526547/ https://www.ncbi.nlm.nih.gov/pubmed/34713208 http://dx.doi.org/10.3389/fdgth.2021.763109 |
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