Unlocking insights: Using machine learning to identify wasting and risk factors in Egyptian children under 5.

Journal: Nutrition (Burbank, Los Angeles County, Calif.)
PMID: 39616982

Abstract

INTRODUCTION: Malnutrition, particularly wasting, continues to be a significant public health issue among children under five years in Egypt. Despite global advancements in child health, the prevalence of wasting remains a critical concern. This study employs machine learning techniques to identify and analyze the determinants of wasting in this population.

Authors

  • Abdelaziz Hendy
    Pediatric Nursing Department, Faculty Nursing, Ain Shams University, Cairo, Egypt. Electronic address: Abdelaziz.hendy@nursing.asu.edu.eg.
  • Sally Mohammed Farghaly Abdelaliem
    Department of Nursing Management and Education, Princess Nourah bint Abdulrahman, Riyadh, Saudi Arabia.
  • Hosny Maher Sultan
    College of Nursing, Gulf Medical University, Ajman, UAE. Electronic address: dr.hosny@gmu.ac.ae.
  • Shorok Hamed Alahmedi
    Department of Nursing Management and Education, College of Nursing, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia. Electronic address: shalahmedi@pnu.edu.sa.
  • Rasha Kadri Ibrahim
    Nursing Department, Fatima College of Health Sciences, Madinat Zayed, UAE. Electronic address: rasha.ibrahim@actvet.gov.ae.
  • Eman Mohamed Ebrahim Abdelrazek
    Community Health Nursing Department, College of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia. Electronic address: eabdelrazek@jazanu.edu.sa.
  • Masani Abdelbagi Ahmed Elmahdy
    College of Nursing, Gulf Medical University, Ajman, UAE. Electronic address: Masani.elmahdy@gmail.com.
  • Ahmed Hendy
    Department of Computational Mathematics and Computer Science, Institute of Natural Sciences and Mathematics, Ural Federal University, Yekaterinburg, Russian Federation; Department of Mechanics and Mathematics, Western Caspian University, Baku, Azerbaijan; Department of Mathematics and Computer science, Faculty of Science, Benha University, Benha, Egypt. Electronic address: ahmed.hendy@fsc.bu.edu.eg.

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