Predictors of micronutrient deficiency among children aged 6-23 months in Ethiopia: a machine learning approach.

Journal: Frontiers in nutrition
Published Date: Jan 5, 2024

Abstract

INTRODUCTION: Micronutrient (MN) deficiencies are a major public health problem in developing countries including Ethiopia, leading to childhood morbidity and mortality. Effective implementation of programs aimed at reducing MN deficiencies requires an understanding of the important drivers of suboptimal MN intake. Therefore, this study aimed to identify important predictors of MN deficiency among children aged 6-23 months in Ethiopia using machine learning algorithms.

Authors

  • Leykun Getaneh Gebeye
    Department of Statistics, College of Natural Science, Wollo University, Dessie, Ethiopia.
  • Eskezeia Yihunie Dessie
    Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, College of Medicine, Cincinnati, OH, United States.
  • Jemal Ayalew Yimam
    Department of Statistics, College of Natural Science, Wollo University, Dessie, Ethiopia.

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