Assessment of Oxidative Stress and Metabolic Risks With Machine Learning Algorithms in Ethnically Diverse Population: Cross-Sectional Data in Korea and the Netherlands
Author(s) -
Yunsoo Kim,
Tim van den Broek,
Jildau Bouwman,
Oran Kwon,
Edith J. M. Feskens
Publication year - 2022
Publication title -
current developments in nutrition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.904
H-Index - 14
ISSN - 2475-2991
DOI - 10.1093/cdn/nzac047.032
Subject(s) - elastic net regularization , oxidative stress , national health and nutrition examination survey , lasso (programming language) , cross sectional study , population , medicine , metabolic syndrome , algorithm , regression , diabetes mellitus , computer science , environmental health , statistics , endocrinology , pathology , mathematics , world wide web
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