| Global burden of cardiovascular diseases and risks, 1990-2022 GA Mensah, V Fuster, CJL Murray, GA Roth, ... Journal of the American College of Cardiology 82 (25), 2350-2473, 2023 | 73 | 2023 |
| An interpretable machine learning approach for hepatitis b diagnosis G Obaido, B Ogbuokiri, TG Swart, N Ayawei, SM Kasongo, K Aruleba, ... Applied sciences 12 (21), 11127, 2022 | 33 | 2022 |
| COVID-19 diagnosis: A review of rapid antigen, RT-PCR and artificial intelligence methods RT Aruleba, TA Adekiya, N Ayawei, G Obaido, K Aruleba, ID Mienye, ... Bioengineering 9 (4), 153, 2022 | 32 | 2022 |
| Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the … AE Schumacher, HH Kyu, A Aali, C Abbafati, J Abbas, ... The Lancet, 2024 | 27 | 2024 |
| Hypertension Prediction System Using Naive Bayes Classifier B Afeni, T Aruleba, I Oloyede Journal of Advances in Mathematics and Computer Science 24 (2), 1-11, 2017 | 26 | 2017 |
| Deep learning for age estimation using EfficientNet I Aruleba, S Viriri Advances in Computational Intelligence: 16th International Work-Conference …, 2021 | 13 | 2021 |
| Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease … M Brauer, GA Roth, AY Aravkin, P Zheng, KH Abate, YH Abate, C Abbafati, ... The Lancet 403 (10440), 2162-2203, 2024 | 3 | 2024 |
| Global Burden of Cardiovascular Diseases and Risks, 1990-2022 M George A, V Fuster, CJL Murray, GA Roth, GA Mensah, YH Abate, ... Elsevier, 2023 | | 2023 |
| Enhanced Convolutional Neural Network for Age Estimation I Aruleba, S Viriri Advances in Computational Intelligence: 16th International Work-Conference …, 2021 | | 2021 |
Serestina ViririProfessor of Computer Science, University of KwaZulu-NatalAdresse e-mail validée de ukzn.ac.za
