Estimation of low-density lipoprotein cholesterol levels using machine learning.

Journal: International journal of cardiology
PMID: 35065153

Abstract

BACKGROUND: Low-density lipoprotein-cholesterol (LDL-C) is used as a threshold and target for treating dyslipidemia. Although the Friedewald equation is widely used to estimate LDL-C, it has been known to be inaccurate in the case of high triglycerides (TG) or non-fasting states. We aimed to propose a novel method to estimate LDL-C using machine learning.

Authors

  • Gyu Chul Oh
    Department of Cardiology, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
  • Taehoon Ko
    Office of Hospital Information, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
  • Jin-Hyu Kim
    Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Min Ho Lee
    Department of Neurosurgery, Brain Tumor Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Sae Won Choi
    Department of Emergency Medicine, Seoul National University College of Medicine; Office of Hospital Information, Seoul National University Hospital. Electronic address: saewonchoi@gmail.com.
  • Ye Seul Bae
    Department of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea; Office of Hospital Information, Seoul National University Hospital, Seoul, Republic of Korea.
  • Kyung Hwan Kim
    Department of Surgery, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.
  • Hae-Young Lee
    Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.

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