Predicting severe stunting and its determinants among under-five in Eastern African Countries: A machine learning algorithms
The Random Forest was the best-performing model for predicting severe stunting in Eastern African countries. To decrease the effects of severe stunting, integrated interventions should provide support for mothers with lower socioeconomic conditions, strengthen maternal education, empower women to practice exclusive breastfeeding, encourage facility deliveries, increase access for households to sanitary facilities, provide education on personal and environmental hygiene, provide mothers with information on the importance of complementary feeding for children as well as for the mothers, and provide near health facilities for mothers and essential care services.
Authors
- Altaseb Beyene Kassaw (ORCID: https://orcid.org/0000-0001-6359-7826)
- Kassahun Dessie Gashu (ORCID: https://orcid.org/0000-0002-7812-3743)
- Halid Worku Jemil
- Sonia Worku Semayneh
Institutions
- Wollo University (ET)
- Tikur Anbessa Hospital (ET)
- University of Gondar (ET)
Publication Details
- Journal
- PLoS ONE
- Published
- 2026-01-02
- DOI
- https://doi.org/10.1371/journal.pone.0340221
- Primary Topic
- Child Nutrition and Water Access
- Type
- article
- Field-Weighted Citation Impact
- 0.00