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Development and validation of machine learning-augmented al..:

Hao Zhang ; Tianshu Zeng ; Jiaoyue Zhang...
https://www.frontiersin.org/articles/10.3389/fendo.2024.1292346/full. , 2024

Link: https://doi.org/10.3389/fendo.2024.1292346

RT Journal
T1 <Title>Development and validation of machine learning-augmented algorithm for insulin sensitivity assessment in the community and primary care settings: a population-based study in China</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:322b8940445d4c6295eeffab3cbda681&Exemplar=1&LAN=DE
				
A1 Hao Zhang
A1 Tianshu Zeng
A1 Jiaoyue Zhang
A1 Juan Zheng
A1 Jie Min
A1 Miaomiao Peng
A1 Geng Liu
A1 Xueyu Zhong
A1 Ying Wang
A1 Kangli Qiu
A1 Shenghua Tian
A1 Xiaohuan Liu
A1 Hantao Huang
A1 Marina Surmach
A1 Ping Wang
A1 Xiang Hu
A1 Lulu Chen
PB Frontiers Media S.A.
YR 2024
K1 insulin sensitivity assessment
K1 machine learning
K1 community settings
K1 primary care settings
K1 risk factors
K1 Diseases of the endocrine glands. Clinical endocrinology
K1 RC648-665
JF https://www.frontiersin.org/articles/10.3389/fendo.2024.1292346/full
LK http://dx.doi.org/https://doi.org/10.3389/fendo.2024.1292346
DO https://doi.org/10.3389/fendo.2024.1292346
SF ELIB - SuUB Bremen

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