[HTML][HTML] Application of deep learning and machine learning models to improve healthcare in sub-Saharan Africa: Emerging opportunities, trends and implications

E Mbunge, J Batani - Telematics and Informatics Reports, 2023 - Elsevier
Deep learning and machine learning techniques present unmatched opportunities to
improve healthcare in sub-Saharan Africa (SSA). However, there is a paucity of literature on …

[HTML][HTML] Towards data-driven models for diverging emerging technologies for maternal, neonatal and child health services in sub-Saharan Africa: a systematic review

J Batani, MS Maharaj - Global Health Journal, 2022 - Elsevier
Abstract Sub-Saharan Africa (SSA) has the highest maternal and under-five mortality rates in
the world. The advent of the coronavirus disease 2019 exacerbated the region's problems …

[HTML][HTML] A review of deep learning models to detect malware in Android applications

E Mbunge, B Muchemwa, J Batani… - Cyber Security and …, 2023 - Elsevier
Android applications are indispensable resources that facilitate communication, health
monitoring, planning, data sharing and synchronization, social interaction, business and …

Emerging technologies' role in reducing under-five mortality in a low-resource setting: Challenges and perceived opportunities by public health workers in Makonde …

J Batani, MS Maharaj - Journal of Child Health Care, 2023 - journals.sagepub.com
Under-five mortality (U5M) remains a global challenge, with Sub-Saharan Africa being the
hardest hit. The coronavirus disease 2019 (COVID-19) has strained healthcare systems …

Data science in public health: A review of predictive analytics for disease control in the USA and Africa

JO Ogugua, C Onwumere, JO Arowoogun… - World Journal of …, 2024 - wjarr.com
This scholarly paper delves into the realm of data science in public health, with a specific
focus on the transformative role of predictive analytics in disease control across the United …

Application of machine learning techniques for predicting child mortality and identifying associated risk factors

E Mbunge, SG Fashoto, B Muchemwa… - 2023 Conference on …, 2023 - ieeexplore.ieee.org
Despite continuous persistent efforts to enhance child health through, among other things,
universal access to care, child mortality remains a significant public health concern on a …

A Deep Learning Model for Predicting Under-Five Mortality in Zimbabwe

J Batani - … International Conference on Artificial Intelligence, Big …, 2023 - ieeexplore.ieee.org
The death of children before they reach five years old (under-five mortality or U5M) is a
global scourge that has attracted the attention of many governments, including the World …

Machine Intelligence in Africa: a survey

AA Tapo, A Traoré, S Danioko, H Tembine - arXiv preprint arXiv …, 2024 - arxiv.org
In the last 5 years, the availability of large audio datasets in African countries has opened
unlimited opportunities to build machine intelligence (MI) technologies that are closer to the …

A framework for the adoption of emerging technologies to reduce under-five mortality in Zimbabwe

J Batani, MS Maharaj - 2023 Conference on Information …, 2023 - ieeexplore.ieee.org
Under-five mortality remains a global health concern as many countries have failed to
achieve the United Nations Millennium Development Goal 4 (MDG 4). Children under five …

Artificial intelligence for healthcare in Africa: a scientometric analysis

B Njei, US Kanmounye, MF Mohamed… - Health and …, 2023 - Springer
Introduction Artificial intelligence (AI) has greatly transformed healthcare in developed
countries. However, there is limited data describing the extent of AI adoption in African …