Predicting the Health and economic benefit of Free Dialysis in Ghana -Machine learning Approach Stephen Turkson -Machine learning and Deep learning Researcher -KNUST

Early Detection of Hypertension in Ghana using Machine Learning Models: Decision Tree, Random Forest, GBDT, SVM, Naive Bayes Stephen Turkson (ORCID:0000-0001-7434-5587 -Machine learning and Deep learning Researcher-KNUST) Patience Aboagyewaa (Industrial Finance and Investment Analyst -KNUST)

Predicting the Performance of Rural Banks in Ghana Using Machine Learning Approach

The idea of rural banks was introduced as a result of limited commercial bank branches in rural area

Predicting breastfeeding practice of Nigerian child using machine learning and deep learning algorithms

The accessibility and rapid growth of data with the conspicuous rise in hardware technologies have l

Predicting Trust in Public Institutions in Eswatini Using Machine Learning and Deep Learning: A Comparative Analysis

Objectives: This study conducts a comprehensive analysis of artificial intelligence AI techniques fo

Predicting House Rental Prices in Ghana Using Machine Learning

This study investigates the efficacy of machine learning models for predicting house rental prices i

Machine learning approach for predicting bridge components’ condition ratings

Information on bridge condition rating is critical to make decisions regarding rehabilitation or rep