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

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

Objectives: Predictive models for the onset of metabolic syndrome (MS) for people in their 30s are scarce. This study aimed to construct a highly accurate model to predict MS onset by 40 years of age and to identify important predictors of MS onset using health checkup data of Japanese employees age...

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Bibliographic Details
Main Authors: Miyuki Suda, Tadao Ooka, Zentaro Yamagata
Format: Article
Language:English
Published: Japan Society for Occupational Health 2022-12-01
Series:Environmental and Occupational Health Practice
Subjects:
blood pressure
body mass index
machine learning
metabolic syndrome
obesity
risk
Online Access:https://www.jstage.jst.go.jp/article/eohp/4/1/4_2021-0023-OA/_html/-char/en

Internet

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

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