Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation.

Journal: PloS one
PMID:

Abstract

BACKGROUND: Low-density lipoprotein cholesterol (LDL-C) is a target for cardiovascular prevention. Contemporary equations for LDL-C estimation have limited accuracy in certain scenarios (high triglycerides [TG], very low LDL-C).

Authors

  • Gurpreet Singh
    Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore.
  • Yasin Hussain
    Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America.
  • Zhuoran Xu
    1 Dalio Institute of Cardiovascular Imaging New York-Presbyterian Hospital New York NY.
  • Evan Sholle
    Information Technologies & Services Department, Weill Cornell Medicine, New York, New York, United States of America.
  • Kelly Michalak
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York.
  • Kristina Dolan
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York.
  • Benjamin C Lee
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York.
  • Alexander R van Rosendael
    Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Zahra Fatima
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York, United States of America.
  • Jessica M Peña
    Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Peter W F Wilson
    Emory Clinical Cardiovascular Research Institute, Emory University, Atlanta, Georgia, United States of America.
  • Antonio M Gotto
    Weill Cornell Medicine, New York, New York, United States of America.
  • Leslee J Shaw
    Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA.
  • Lohendran Baskaran
  • Subhi J Al'Aref
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, USA.