Prediction and predictor elucidation of metabolic syndrome onset among young workers using machine learning techniques: A nationwide study in Japan-Reference-Cited by-同舟云学术

Prediction and predictor elucidation of metabolic syndrome onset among young workers using machine learning techniques: A nationwide study in Japan

Published:2022 Issue:1 Volume:4 Page:n/a
ISSN:2434-4931
Container-title:Environmental and Occupational Health Practice
language:en
Short-container-title:EOH-P

Author:

Suda Miyuki¹,Ooka Tadao¹^ORCID,Yamagata Zentaro¹

Affiliation:

1. Department of Health Science, University of Yamanashi

Publisher

Japan Society for Occupational Health

Subject

General Materials Science

Link

https://www.jstage.jst.go.jp/article/eohp/4/1/4_2021-0023-OA/_pdf

Reference30 articles.

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3. 3. Scholze J, Alegria E, Ferri C, et al. Epidemiological and economic burden of metabolic syndrome and its consequences in patients with hypertension in Germany, Spain and Italy; a prevalence-based model. BMC Public Health. 2010; 10(1): 529-541.

4. 4. Brunner EJ, Marmot MG, Nanchahal K, et al. Social inequality in coronary risk: central obesity and the metabolic syndrome. Evidence from the Whitehall II study. Diabetologia. 1997; 40(11): 1341-1349.

5. 5. A Basic Direction for Comprehensive Implementation of National Health Promotion. (Ministry of Health, Labour and Welfare) https://www.mhlw.go.jp/file/06-Seisakujouhou-10900000-Kenkoukyoku/0000047330.pdf Published in 2012. Accessed March 1, 2022.

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