{"title":"Prediction and predictor elucidation of metabolic syndrome onset among young workers using machine learning techniques: A nationwide study in Japan","authors":"Miyuki Suda, T. Ooka, Z. Yamagata","doi":"10.1539/eohp.2021-0023-oa","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":278195,"journal":{"name":"Environmental and Occupational Health Practice","volume":"76 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental and Occupational Health Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1539/eohp.2021-0023-oa","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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