Application of machine learning algorithms to predict early childhood development in children aged 24–59 months across three East African countries
In East Africa, only the modest majority of children were developmentally on track. Policies should prioritize preprimary education, equitable access, and women's education to empower mothers and improve parenting practices. Promoting appropriate media use while limiting maternal screen time can enhance children's developmental outcomes in East Africa and other countries with similar socioeconomic contexts, including most sub-Saharan African countries.
Authors
- Tsion Mulat Tebeje (ORCID: https://orcid.org/0000-0002-2911-2095)
- Daniel Sisay
- Solomon Hailemariam (ORCID: https://orcid.org/0000-0002-1120-1161)
- Binyam Tariku Seboka (ORCID: https://orcid.org/0000-0002-8309-5986)
- Mesfin Abebe (ORCID: https://orcid.org/0000-0002-9340-0091)
- Getanew Aschalew Tesfa (ORCID: https://orcid.org/0000-0003-2115-1337)
- Gizaw Sisay (ORCID: https://orcid.org/0000-0002-6876-2904)
Institutions
- Dilla University (ET)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-09-12
- DOI
- https://doi.org/10.1371/journal.pone.0332023
- Primary Topic
- Child Nutrition and Water Access
- Type
- article
- Field-Weighted Citation Impact
- 0.00