Predictive utilities of lipid traits, lipoprotein subfractions and other risk factors for incident diabetes: a machine learning approach in the Diabetes Prevention Program

INTRODUCTION: Although various lipid and non-lipid analytes measured by nuclear magnetic resonance (NMR) spectroscopy have been associated with type 2 diabetes, a structured comparison of the ability of NMR-derived biomarkers and standard lipids to predict individual diabetes risk has not been under...

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Detalles Bibliográficos
Autores principales: Varga, Tibor V, Liu, Jinxi, Goldberg, Ronald B, Chen, Guannan, Dagogo-Jack, Samuel, Lorenzo, Carlos, Mather, Kieren J, Pi-Sunyer, Xavier, Brunak, Søren, Temprosa, Marinella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Epidemiology/Health services research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016090/
https://www.ncbi.nlm.nih.gov/pubmed/33789908
http://dx.doi.org/10.1136/bmjdrc-2020-001953

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016090/
https://www.ncbi.nlm.nih.gov/pubmed/33789908
http://dx.doi.org/10.1136/bmjdrc-2020-001953

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