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

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 undert...

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Bibliographic Details
Main Authors: Samuel Dagogo-Jack, Carlos Lorenzo, Kieren J Mather, Marinella Temprosa, Tibor V Varga, Jinxi Liu, Ronald B Goldberg, Guannan Chen, Xavier Pi-Sunyer
Format: Article
Language:English
Published: BMJ Publishing Group 2021-08-01
Series:BMJ Open Diabetes Research & Care
Online Access:https://drc.bmj.com/content/9/1/e001953.full

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https://drc.bmj.com/content/9/1/e001953.full

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