Assessment of Oxidative Stress and Metabolic Risks With Machine Learning Algorithms in Ethnically Diverse Population: Cross-Sectional Data in Korea and the Netherlands
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2022 |
Reihe/Periodikum: | Current Developments in Nutrition ; volume 6, page 32 ; ISSN 2475-2991 |
Verlag/Hrsg.: |
Elsevier BV
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Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-29176546 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | http://dx.doi.org/10.1093/cdn/nzac047.032 |