Machine-learning to stratify diabetic patients using novel cardiac biomarkers and integrative genomics.

Journal: Cardiovascular diabetology
PMID: 31185988

Abstract

BACKGROUND: Diabetes mellitus is a chronic disease that impacts an increasing percentage of people each year. Among its comorbidities, diabetics are two to four times more likely to develop cardiovascular diseases. While HbA1c remains the primary diagnostic for diabetics, its ability to predict long-term, health outcomes across diverse demographics, ethnic groups, and at a personalized level are limited. The purpose of this study was to provide a model for precision medicine through the implementation of machine-learning algorithms using multiple cardiac biomarkers as a means for predicting diabetes mellitus development.

Authors

  • Quincy A Hathaway
    Division of Exercise Physiology, West Virginia University School of Medicine, PO Box 9227, 1 Medical Center Drive, Morgantown, WV, 26505, USA.
  • Skyler M Roth
    Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, WV, 26505, USA.
  • Mark V Pinti
    West Virginia University School of Pharmacy, Morgantown, WV, 26505, USA.
  • Daniel C Sprando
    West Virginia University School of Medicine, Morgantown, WV, 26505, USA.
  • Amina Kunovac
    Division of Exercise Physiology, West Virginia University School of Medicine, PO Box 9227, 1 Medical Center Drive, Morgantown, WV, 26505, USA.
  • Andrya J Durr
    Division of Exercise Physiology, West Virginia University School of Medicine, PO Box 9227, 1 Medical Center Drive, Morgantown, WV, 26505, USA.
  • Chris C Cook
    Cardiovascular and Thoracic Surgery, West Virginia University School of Medicine, Morgantown, WV, 26505, USA.
  • Garrett K Fink
    Division of Exercise Physiology, West Virginia University School of Medicine, PO Box 9227, 1 Medical Center Drive, Morgantown, WV, 26505, USA.
  • Tristen B Cheuvront
    Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, WV, 26505, USA.
  • Jasmine H Grossman
    Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, WV, 26505, USA.
  • Ghadah A Aljahli
    Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, WV, 26505, USA.
  • Andrew D Taylor
    Division of Exercise Physiology, West Virginia University School of Medicine, PO Box 9227, 1 Medical Center Drive, Morgantown, WV, 26505, USA.
  • Andrew P Giromini
    West Virginia University School of Medicine, Morgantown, WV, 26505, USA.
  • Jessica L Allen
    Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, WV, 26505, USA.
  • John M Hollander
    Division of Exercise Physiology, West Virginia University School of Medicine, PO Box 9227, 1 Medical Center Drive, Morgantown, WV, 26505, USA. jhollander@hsc.wvu.edu.

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