Predictive modeling the probability of suffering from metabolic syndrome using machine learning: A population-based study.

Heliyon · 2022 · PMC9834713 · PMID 36643319

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an increasing trendno p-value reported

Abstract Background There is an increasing trend of Metabolic syndrome (MetS) prevalence, which has been considered as an important contributor for cardiovascular disease (CVD), cancers and diabetes.

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marginally significantno p-value reported

We also demonstrated that there was a 1.4% higher probability of MetS for each 1-cm increase of height (OR, 1.01; 95% CI, 1.00–1.03; P = 0.0536) in the multivariable logistic regression model, though the effect was marginally significant.

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