Feature selection and association rule learning identify risk factors of malnutrition among Ethiopian schoolchildren.

Journal: Frontiers in epidemiology
Published Date: Jul 6, 2023

Abstract

INTRODUCTION: Previous studies have sought to identify risk factors for malnutrition in populations of schoolchildren, depending on traditional logistic regression methods. However, holistic machine learning (ML) approaches are emerging that may provide a more comprehensive analysis of risk factors.

Authors

  • William A Russel
    Department of Biology, Colgate University, Hamilton, NY, United States.
  • Jim Perry
    Department of Computer Science, Colgate University, Hamilton, NY, United States.
  • Claire Bonzani
    Department of Mathematics, Colgate University, Hamilton, NY, United States.
  • Amanda Dontino
    Department of Biology, Colgate University, Hamilton, NY, United States.
  • Zeleke Mekonnen
    Institute of Health, School of Medical Laboratory Sciences, Jimma University, Jimma, Ethiopia.
  • Ahmet Ay
    Department of Biology, Colgate University, Hamilton, NY, United States.
  • Bineyam Taye
    Department of Biology, Colgate University, Hamilton, NY, United States.

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