Journal · 2024
Expert System Software Framework for Nutritional Analysis and Diet-Related Disease
Abstract
Nigeria faces a serious health crisis with diet-related diseases, which calls for creative ways to improve nutritional results and public knowledge. In addressing the challenges, this study introduces an Expert System Software Framework for Nutritional Analysis and Diet-Related Diseases, leveraging advanced technologies to address healthcare and nutrition challenges. Developed through rigorous research, the framework offers dynamic capabilities, personalized recommendations, and a user-friendly interface. Key features include customized algorithms, blockchain authentication for security, dynamic scheduling, and robust administrative tools. It fills critical gaps by providing insights into nutritional contents and health impacts of foods, supporting informed decision-making and proactive management of diet-related disorders. The performance evaluation demonstrates a high accuracy rate of 91.7%, ensuring reliability in dietary recommendations. Future directions include integrating wearable technology and AI to provide real-time health data for personalized dietary recommendations. This framework sets a new standard in nutritional analysis and disease management, contributing to advancements in healthcare and nutrition. Its recommendations for sustained engagement, collaboration with medical professionals, and global expansion aim to improve user outcomes and quality of life beyond the Nigerian setting.
Other publications from the same authors
Publication details
- Venue
- International Journal of Development Mathematics (IJDM)
- Type
- Journal · 2024
- DOI
- 10.62054/ijdm/0103.17
- Citations
- 0 · via Crossref, 17 September 2026
Cite this publication
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APA
Akuma, C. F., Garba, E. J., Teman, M. E., Uchenna, O. J., Akuma, C. F., & Akuma, D. (2024). Expert System Software Framework for Nutritional Analysis and Diet-Related Disease. International Journal of Development Mathematics (IJDM). https://doi.org/10.62054/ijdm/0103.17
Harvard
Akuma, C.F., Garba, E.J., Teman, M.E., Uchenna, O.J., Akuma, C.F. and Akuma, D. (2024) 'Expert System Software Framework for Nutritional Analysis and Diet-Related Disease', International Journal of Development Mathematics (IJDM). doi: 10.62054/ijdm/0103.17.
IEEE
C. F. Akuma, E. J. Garba, M. E. Teman, O. J. Uchenna, C. F. Akuma, and D. Akuma, "Expert System Software Framework for Nutritional Analysis and Diet-Related Disease," International Journal of Development Mathematics (IJDM), 2024. doi: 10.62054/ijdm/0103.17.
Vancouver
Akuma CF, Garba EJ, Teman ME, Uchenna OJ, Akuma CF, Akuma D. Expert System Software Framework for Nutritional Analysis and Diet-Related Disease. International Journal of Development Mathematics (IJDM). 2024. doi: 10.62054/ijdm/0103.17.
MLA
Akuma, Chijiuka Fortune, et al.. "Expert System Software Framework for Nutritional Analysis and Diet-Related Disease." International Journal of Development Mathematics (IJDM), 2024. https://doi.org/10.62054/ijdm/0103.17.
Chicago
Akuma, C. F., Garba, E. J., Teman, M. E., Uchenna, O. J., Akuma, C. F., Akuma, D.. "Expert System Software Framework for Nutritional Analysis and Diet-Related Disease." International Journal of Development Mathematics (IJDM) (2024). https://doi.org/10.62054/ijdm/0103.17.
BibTeX
@article{akuma2024, title={Expert System Software Framework for Nutritional Analysis and Diet-Related Disease}, author={Akuma, Chijiuka Fortune and Garba, Etemi Joshua and Teman, Martin Emmanuel and Uchenna, Ogbonna J. and Akuma, Chijiuka Fortune and Akuma, Duru}, journal={International Journal of Development Mathematics (IJDM)}, year={2024}, doi={10.62054/ijdm/0103.17}, }