Samuel Kwame Okai

Reconstructing Inequality in Maternal Health: Imputation-enhanced Machine Learning Models for Global ANC4 Performance

Francis Ayiah-Mensah, Felix Okoe Mettle, Asiedu Kokuro & Samuel Kwame Okai · Asian Research Journal of Gynaecology and Obstetrics · 2026

The study develops a hybrid composite analysis model that combines imputation and machine learning techniques to predict 527 country-years of national antenatal care coverage with at least four visits (ANC4). The structured missingness of the wealth quintile indicators was addres...

Open access Research Article 10.9734/arjgo/2026/v9i1310

Machine-Learning Implications on Global Antenatal Care Improvement and Equity Disparities: The Wealth Effect, Regional Dynamics and Model-Based

Francis Ayiah-Mensah, Emmanuel Mensah Baah, Emmanuel Harris & Samuel Kwame Okai · Asian Journal of Pregnancy and Childbirth · 2025

The study evaluated the progress of antenatal care worldwide using records from the UNICEF Maternal Health Dataset and determined the correlation between prosperity and improvements in antenatal care coverage. Mean coverage of antenatal care rose by 61.9 in 2013 to 71.6 in 2023,...

Open access Research Article 10.9734/ajpcb/2025/v8i1187