Data-driven machine learning algorithm model for pneumonia prediction and determinant factor stratification among children aged 6-23 months in Ethiopia.

Journal: BMC infectious diseases
PMID: 40316929

Abstract

INTRODUCTION: Pneumonia is the leading cause of child morbidity and mortality and accounts for 5.6 million under-five child deaths. Pneumonia has a significant impact on the quality of life, the country's economy, and the survival of children. Therefore, this study aimed to develop data-driven predictive model using machine learning algorithms to predict pneumonia and stratify the determinant factors among children aged 6-23 months in Ethiopia.

Authors

  • Addisalem Workie Demsash
    Debre Berhan University, Asrat Woldeyes Health Science Campus, Public Health Department, Debre Berihan, Ethiopia. addisalemworkie599@gmail.com.
  • Rediet Abebe
    Harvard Society of Fellows, Cambridge, MA 02138.
  • Wubishet Gezimu
    Mattu University, Health Science College, Mettu, Ethiopia.
  • Gemeda Wakgari Kitil
    Mattu University, Health Science College, Mettu, Ethiopia.
  • Michael Amera Tizazu
    Debre Berhan University, Asrat Woldeyes Health Science Campus, Public Health Department, Debre Berihan, Ethiopia.
  • Abera Lembebo
    Debre Berhan University, Asrat Woldeyes Health Science Campus, Public Health Department, Debre Berihan, Ethiopia.
  • Firomsa Bekele
    Wallaga University, Health Science College, Nekemte, Ethiopia.
  • Solomon Seyife Alemu
    Madda Walabu University, Health Science College, Shashemene Campus, Shashemene, Ethiopia.
  • Mohammedamin Hajure Jarso
    Madda Walabu University, Health Science College, Shashemene Campus, Shashemene, Ethiopia.
  • Geleta Dube
    Debre Berhan University, Asrat Woldeyes Health Science Campus, Public Health Department, Debre Berihan, Ethiopia.
  • Lema Fikadu Wedajo
    Wallaga University, Health Science College, Nekemte, Ethiopia.
  • Sanju Purohit
    Department of Environmental/Ecological Studies and Sustainability, Akamai University, Kamuela, USA.
  • Mulugeta Hayelom Kalayou
    Health Science Campus, Health Informatics Department, Wollo University, Wollo, Ethiopia.

Keywords

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