Predictive modelling of linear growth faltering among pediatric patients with Diarrhea in Rural Western Kenya: an explainable machine learning approach.

Journal: BMC medical informatics and decision making
PMID: 39623435

Abstract

INTRODUCTION: Stunting affects one-fifth of children globally with diarrhea accounting for an estimated 13.5% of stunting. Identifying risk factors for its precursor, linear growth faltering (LGF), is critical to designing interventions. Moreover, developing new predictive models for LGF using more recent data offers opportunity to enhance model accuracy, interpretability and capture new insights. We employed machine learning (ML) to derive and validate a predictive model for LGF among children enrolled with diarrhea in the Vaccine Impact on Diarrhea in Africa (VIDA) study and the Enterics for Global Heath (EFGH) - Shigella study in rural western Kenya.

Authors

  • Billy Ogwel
    Kenya Medical Research Institute, Center for Global Health Research (KEMRI-CGHR) Kisumu Kenya.
  • Vincent H Mzazi
    Department of Information Systems, University of South Africa, Pretoria, South Africa.
  • Alex O Awuor
    Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), P.O Box 1578-40100, Kisumu, Kenya.
  • Caleb Okonji
    Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), P.O Box 1578-40100, Kisumu, Kenya.
  • Raphael O Anyango
    Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), P.O Box 1578-40100, Kisumu, Kenya.
  • Caren Oreso
    Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), P.O Box 1578-40100, Kisumu, Kenya.
  • John B Ochieng
    Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), P.O Box 1578-40100, Kisumu, Kenya.
  • Stephen Munga
    Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), P.O Box 1578-40100, Kisumu, Kenya.
  • Dilruba Nasrin
    Department of Medicine, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA.
  • Kirkby D Tickell
    Department of Global Health, University of Washington, Seattle, USA.
  • Patricia B Pavlinac
    Department of Global Health, University of Washington, Seattle, USA.
  • Karen L Kotloff
    Center for Vaccine Development, Departments of Pediatrics and Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA. Electronic address: KKOTLOFF@medicine.umaryland.edu.
  • Richard Omore
    Kenya Medical Research Institute, Center for Global Health Research (KEMRI-CGHR) Kisumu Kenya.

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