Article info

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

Authors

  • Tibor V Varga Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, DenmarkNovo Nordisk Foundation Center for Protein Research, Translational Disease Systems Biology Group, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, DenmarkDepartment of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital Malmö, Malmö, Sweden PubMed articlesGoogle scholar articles
  • Jinxi Liu Biostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Rockville, Maryland, USA PubMed articlesGoogle scholar articles
  • Ronald B Goldberg Department of Medicine, University of Miami, Miami, Florida, USA PubMed articlesGoogle scholar articles
  • Guannan Chen Biostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Rockville, Maryland, USA PubMed articlesGoogle scholar articles
  • Samuel Dagogo-Jack University of Tennessee Health Science Center, Memphis, Tennessee, USA PubMed articlesGoogle scholar articles
  • Carlos Lorenzo The University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA PubMed articlesGoogle scholar articles
  • Kieren J Mather Indiana University School of Medicine, Indianapolis, Indiana, USA PubMed articlesGoogle scholar articles
  • Xavier Pi-Sunyer Columbia University Medical Center, New York City, New York, USA PubMed articlesGoogle scholar articles
  • Søren Brunak Novo Nordisk Foundation Center for Protein Research, Translational Disease Systems Biology Group, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark PubMed articlesGoogle scholar articles
  • Marinella Temprosa Biostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Rockville, Maryland, USA PubMed articlesGoogle scholar articles
  • On behalf of the Diabetes Prevention Program Research Group
    Google scholar articles
  1. Correspondence to Dr Tibor V Varga; Tibor.Varga{at}sund.ku.dk; Dr Marinella Temprosa; ella{at}bsc.gwu.edu
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Citation

Varga TV, Liu J, Goldberg RB On behalf of the Diabetes Prevention Program Research Group, et al
Predictive utilities of lipid traits, lipoprotein subfractions and other risk factors for incident diabetes: a machine learning approach in the Diabetes Prevention Program

Publication history

  • Received October 19, 2020
  • Revised February 18, 2021
  • Accepted February 25, 2021
  • First published March 31, 2021.
Online issue publication 
March 31, 2021

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