Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics

Kun Qian; Liang Zhang; Kezhi Li; Juan Liu

doi:10.3389/fdgth.2021.763109

Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics

Kun Qian^*, Liang Zhang, Kezhi Li, Juan Liu

^*Corresponding author for this work

School of Medical and Technology

Research output: Contribution to journal › Editorial

Original language	English
Article number	763109
Journal	Frontiers in Digital Health
Volume	3
DOIs	https://doi.org/10.3389/fdgth.2021.763109
Publication status	Published - 6 Oct 2021

Keywords

artificial intelligence
deep learning
digital health
intelligent medicine
machine learning
medicine 4.0
non/less-invasive methods

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10.3389/fdgth.2021.763109

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Qian, K., Zhang, L., Li, K., & Liu, J. (2021). Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics. Frontiers in Digital Health, 3, Article 763109. https://doi.org/10.3389/fdgth.2021.763109

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author = "Kun Qian and Liang Zhang and Kezhi Li and Juan Liu",

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AU - Qian, Kun

AU - Zhang, Liang

AU - Li, Kezhi

AU - Liu, Juan

PY - 2021/10/6

Y1 - 2021/10/6

KW - artificial intelligence

KW - deep learning

KW - digital health

KW - intelligent medicine

KW - machine learning

KW - medicine 4.0

KW - non/less-invasive methods

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DO - 10.3389/fdgth.2021.763109

M3 - Editorial

AN - SCOPUS:85131228349

SN - 2673-253X

VL - 3

JO - Frontiers in Digital Health

JF - Frontiers in Digital Health

M1 - 763109

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Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics

Keywords

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