Comparison between statistical and machine learning methods to detect the hematological indices with the greatest influence on elevated serum levels of low-density lipoprotein cholesterol.

Journal: Chemistry and physics of lipids
PMID: 39369864

Abstract

INTRODUCTION: Elevated levels of low-density lipoprotein-cholesterol (LDL-C) is a significant risk factor for the development of cardiovascular diseases (CVD)s. Furthermore, studies have revealed an association between indices of the complete blood count (CBC) and dyslipidemia. We aimed to investigate the relationship between CBC parameters and serum levels of LDL.

Authors

  • Somayeh Ghiasi Hafezi
    International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Bahareh Behkamal
    Medicinal Chemistry Department, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran; Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran; Medicinal, Chemistry Department, School of Pharmacy, Mashhad University Medical Sciences, Mashhad, Iran.
  • Mohammad Rashidmayvan
    Department of Nutrition, Food Sciences and Clinical Biochemistry, School of Medicine, Social Determinants of Health Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.
  • Marzieh Hosseini
    Department of Biostatistics, College of health, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Mehran Yadegari
    Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Sahar Ghoflchi
    Department of Clinical Biochemistry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Amin Mansoori
    Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Mark Ghamsary
    School of public health, Department of Epidemiology and Biostatistics, Loma Linda University, Loma Linda, USA.
  • Gordon Ferns
    Brighton and Sussex Medical School, Division of Medical Education, Brighton, United Kingdom.
  • Mohammad Reza Saberi
    Medicinal Chemistry Department, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran; Bioinformatics Research Group, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: saberiMR@mums.ac.ir.
  • Habibollah Esmaily
    Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad 917791-8564, Iran.
  • Majid Ghayour-Mobarhan
    International UNESCO Center for Health Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.

Keywords

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