Multi-class machine learning classification and important features on anemia among women in Tanzania and Rwanda

Machine Learning-Based Categorization of Racism in Amharic Text Using Multi-Class Classification

Top 15 most important features in predicting depression among MSM in Ghana using machine learning classifiers.

External social isolation, perceived stress, and same-sex behavior stigma emerged as the leading

Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia

Abstract In developing countries, one-quarter of young women have suffered from anemia. However, th

HetMevada/Multi-Class-Classification

The ministry of water of an African country has made a data set of pumps installed in various places

Intelligent Deep Learning Framework for Cervical Cancer Detection and Multi-Class Classification

Abstract Cervical cancer represents a significant global health challenge, especia

Multi-Class prediction of Viral Load levels among Children and Adolescent HIV Patients using Supervised Machine Learning

Multi-Class prediction of Viral Load levels among Children and Adolescent HIV Patients using Supervised Machine Learning

Poster presented at the Deep Learning Indaba 2023 by stephen  kalyesubula