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Building a Nomogram for Metabolic Syndrome Using Logistic Regression with a Complex Sample—A Study with 39,991,680 Cases

Metabolic syndrome can cause complications, such as stroke and cardiovascular disease. We aimed to propose a nomogram that visualizes and predicts the probability of metabolic syndrome occurrence after identifying risk factors related to metabolic syndrome for prevention and recognition. We created...

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Detalles Bibliográficos
Autores principales: Shin, Min-Seok, Lee, Jea-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871838/
https://www.ncbi.nlm.nih.gov/pubmed/35206986
http://dx.doi.org/10.3390/healthcare10020372

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