Predictive modeling and socioeconomic determinants of diarrhea in children under five in the Amhara Region, Ethiopia.

Journal: Frontiers in public health
PMID: 39157521

Abstract

BACKGROUND: Diarrheal disease, characterized by high morbidity and mortality rates, continues to be a serious public health concern, especially in developing nations such as Ethiopia. The significant burden it imposes on these countries underscores the importance of identifying predictors of diarrhea. The use of machine learning techniques to identify significant predictors of diarrhea in children under the age of 5 in Ethiopia's Amhara Region is not well documented. Therefore, this study aimed to clarify these issues.

Authors

  • Abdulaziz Kebede Kassaw
    Department of Health Informatics, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
  • Ayana Alebachew Muluneh
    Department of Health Informatics, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
  • Ebrahim Msaye Assefa
    Department of Pre-clerkship, College of Medicine and Health Science, Wollo University, Dessie, Ethiopia.
  • Ali Yimer
    Department of Public Health, College of Health Sciences, Woldia University, Woldia, Ethiopia.

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