| Sensors and healthcare 5.0: transformative shift in virtual care through emerging digital health technologies E Mbunge, B Muchemwa, J Batani Global Health Journal 5 (4), 169-177, 2021 | 237 | 2021 |
| Virtual healthcare services and digital health technologies deployed during coronavirus disease 2019 (COVID-19) pandemic in South Africa: a systematic review E Mbunge, J Batani, G Gaobotse, B Muchemwa Global health journal 6 (2), 102-113, 2022 | 143 | 2022 |
| Are we there yet? Unbundling the potential adoption and integration of telemedicine to improve virtual healthcare services in African health systems E Mbunge, B Muchemwa, J Batani Sensors International 3, 100152, 2022 | 62 | 2022 |
| Towards emotive sensory Web in virtual health care: Trends, technologies, challenges and ethical issues E Mbunge, B Muchemwa Sensors International 3, 100134, 2022 | 60 | 2022 |
| Non-invasive smart implants in healthcare: Redefining healthcare services delivery through sensors and emerging digital health technologies G Gaobotse, E Mbunge, J Batani, B Muchemwa Sensors International 3, 100156, 2022 | 33 | 2022 |
| A review of deep learning models for detecting cyberbullying on social media networks J Batani, E Mbunge, B Muchemwa, G Gaobotse, C Gurajena, S Fashoto, ... Computer Science On-line Conference, 528-550, 2022 | 16 | 2022 |
| A review of deep learning models to detect malware in Android applications E Mbunge, B Muchemwa, J Batani, N Mbuyisa Cyber Security and Applications 1, 100014, 2023 | 13 | 2023 |
| The future of smart implants towards personalized and pervasive healthcare in Sub-Saharan Africa: Opportunities, barriers and policy recommendations G Gaobotse, E Mbunge, J Batani, B Muchemwa Sensors International 3, 100173, 2022 | 12 | 2022 |
| Implementation of ensemble machine learning classifiers to predict diarrhoea with SMOTEENN, SMOTE, and SMOTETomek class imbalance approaches E Mbunge, MN Sibiya, S Takavarasha, RC Millham, G Chemhaka, ... 2023 Conference on Information Communications Technology and Society (ICTAS …, 2023 | 11 | 2023 |
| Deep learning and machine learning techniques for analyzing travelers' online reviews: a review E Mbunge, B Muchemwa Optimizing digital solutions for hyper-personalization in tourism and …, 2022 | 11 | 2022 |
| Predicting HIV Status Using Machine Learning Techniques and Bio-Behavioural Data from the Zimbabwe Population-Based HIV Impact Assessment (ZIMPHIA15-16) I Chingombe, G Musuka, E Mbunge, G Chemhaka, DF Cuadros, ... Computer Science On-line Conference, 247-258, 2022 | 9 | 2022 |
| Towards Emotive Sensory Web in Virtual Health Care: Trends, Technologies, Challenges and Ethical Issues. Sensors International, 3, Article ID: 100134 E Mbunge, S Jiyane, B Muchemwa | 7 | 2021 |
| Virtual healthcare services and digital health technologies deployed during coronavirus disease 2019 (COVID-19) pandemic in South Africa: a systematic review. J Glob Health … E Mbunge, J Batani, G Gaobotse, B Muchemwa | 7 | |
| Application of machine learning techniques for predicting child mortality and identifying associated risk factors E Mbunge, SG Fashoto, B Muchemwa, RC Millham, G Chemhaka, ... 2023 Conference on Information Communications Technology and Society (ICTAS …, 2023 | 6 | 2023 |
| Determinants of under-five mortality in Zimbabwe: Evidence from the 2015–2016 Zimbabwe demographic Health Survey data E Mbunge, G Chemhaka, T Dzinamarira, E Moyo, S Fashoto, ... Women and Children Nursing 2 (1), 1-8, 2024 | 1 | 2024 |
| Towards Data-Driven Artificial Intelligence Models for Monitoring, Modelling and Predicting Illicit Substance Use E Mbunge, J Batani, I Chitungo, E Moyo, G Musuka, B Muchemwa, ... Proceedings of the Computational Methods in Systems and Software, 361-379, 2023 | 1 | 2023 |
| Emerging Technologies for Tackling Pandemics E Mbunge, J Batani, G Musuka, I Chitungo, I Chingombe, T Dzinamarira, ... Emerging Drug Delivery and Biomedical Engineering Technologies, 211-219, 2023 | 1 | 2023 |
| Predicting sexually transmitted infections among men who have sex with men in Zimbabwe using deep learning and ensemble machine learning models O Mugurungi, E Mbunge, R Birri-Makota, I Chingombe, M Mapingure, ... PLOS Digital Health 3 (7), e0000541, 2024 | | 2024 |
| Using machine learning models to plan HIV services: Emerging opportunities in design, implementation and evaluation T Dzinamarira, E Mbunge, I Chingombe, DF Cuadros, E Moyo, I Chitungo, ... SAMJ: South African Medical Journal 114 (6B), 86-90, 2024 | | 2024 |
| Women and Children Nursing E Mbunge, G Chemhaka, T Dzinamarira, E Moyo, S Fashoto, ... | | |
Elliot MbungeInformation Technology
Elliot MbungeInformation Technology