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1 Ergebnisse
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Machine Learning to Identify Metabolic Subtypes of Obesity:..:
Ziwei Lin
;
Wenhuan Feng
;
Yanjun Liu
...
https://www.frontiersin.org/articles/10.3389/fendo.2021.713592/full. , 2021
Link:
https://doi.org/10.3389/fendo.2021.713592
RT Journal T1 <Title>Machine Learning to Identify Metabolic Subtypes of Obesity: A Multi-Center Study</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:2c511794d801412798daae70722c3280&Exemplar=1&LAN=DE A1 Ziwei Lin A1 Wenhuan Feng A1 Yanjun Liu A1 Chiye Ma A1 Dooman Arefan A1 Donglei Zhou A1 Xiaoyun Cheng A1 Jiahui Yu A1 Long Gao A1 Lei Du A1 Hui You A1 Jiangfan Zhu A1 Dalong Zhu A1 Shandong Wu A1 Shen Qu PB Frontiers Media S.A. YR 2021 K1 obesity K1 metabolism K1 insulin K1 uric acid K1 machine learning K1 clustering K1 Diseases of the endocrine glands. Clinical endocrinology K1 RC648-665 JF https://www.frontiersin.org/articles/10.3389/fendo.2021.713592/full LK http://dx.doi.org/https://doi.org/10.3389/fendo.2021.713592 DO https://doi.org/10.3389/fendo.2021.713592 SF ELIB - SuUB Bremen
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