Personal profile
Research Interests
Artificial Intelligence, Machine Learning, Explainable AI, and Data Science applications in healthcare.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 12 Responsible Consumption and Production
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Bibliometric Review of the Application of Artificial Intelligence in Emergency Care Units: Trends and Research Agenda
Bokaba, T., Mokheleli, T. & Ndayizigamiye, P., 2026, Emerging Technologies for Developing Countries - 8th EAI International Conference, AFRICATEK 2025, Proceedings. Kamoun, F., Bettaieb, L., Belqasmi, F., Hachani, A., Baker, T., Tabaa, M. & Adeleke, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 297-312 16 p. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; vol. 676 LNICST).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Age-Stratified Mental Health Prediction Using SHAP: An Explainable Artificial Intelligence Framework
Mokheleli, T., 30 Jan 2026, In: Advances in Distributed Computing and Artificial Intelligence Journal. 14, p. 1-22 22 p., e32910.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Artificial intelligence in suicide risk assessment: a systematic literature review
Mokheleli, T., Makaba, T., Ndayizigamiye, P., Ndlovu, N. & Twinomurinzi, H., Dec 2026, In: Discover Artificial Intelligence. 6, 1, 296.Research output: Contribution to journal › Review article › peer-review
Open Access -
Explainable Machine Learning for Suicide Risk Assessment Using Social Media Data
Mokheleli, T., Makaba, T., Ndayizigamiye, P., Ndlovu, N. & Twinomurinzi, H., 2026, In: IEEE Access. 14, p. 77656-77676 21 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A Deep Learning Approach for Predicting Diabetes Stages
Mokheleli, T., Mbuya, E., Bokaba, T., Ndayizigamiye, P. & Idemudia, E. C., 2025, Americas Conference on Information Systems, AMCIS 2025. Association for Information Systems, p. 3141-3150 10 p. (Americas Conference on Information Systems, AMCIS 2025; vol. 5).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review