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Nomogram for screening the risk of developing metabolic syndrome using naïve Bayesian classifier 원문보기

Communications for statistical applications and methods = 한국통계학회논문집, v.30 no.1, 2023년, pp.21 - 35  

Minseok Shin (Department of Statistics, Yeungnam University) ,  Jeayoung Lee (Department of Statistics, Yeungnam University)

Abstract AI-Helper 아이콘AI-Helper

Metabolic syndrome is a serious disease that can eventually lead to various complications, such as stroke and cardiovascular disease. In this study, we aimed to identify the risk factors related to metabolic syndrome for its prevention and recognition and propose a nomogram that visualizes and predi...

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참고문헌 (25)

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