Early Childhood Anemia in Ghana: Prevalence and Predictors Using Machine Learning Techniques

Early Childhood Anemia in Ghana: Prevalence and Predictors Using Machine Learning Techniques

<b>Background/Objectives</b>: Early childhood anemia is a severe public health concern and the most common blood disorder worldwide, especially in emerging countries. This study examines the sources of childhood anemia in Ghana through various societal, parental, and child characteristic...

Full description

Saved in:
Bibliographic Details
Main Authors: Maryam Siddiqa, Gulzar Shah, Mahnoor Shahid Butt, Asifa Kamal, Samuel T. Opoku
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Children
Subjects:
anemia
children
machine learning
Online Access:https://www.mdpi.com/2227-9067/12/7/924
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items