A health app for interpreting medical test results using AI to provide personalized dietary and supplement recommendations
Maratkyzy, Zhanel (A.A. 2024/2025) A health app for interpreting medical test results using AI to provide personalized dietary and supplement recommendations. Tesi di Laurea in Artificial intelligence and machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 25. [Bachelor's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Economic and social context of digital health. Problem statement. Literature review. The convergence of digital health and nutrition science. AI in healthcare: overview. Nutritional biomarkers and their implications. Biomarker-based health applications: state of the art. Existing shortcomings and challenges. Regulatory frameworks for AI in healthcare. Methodology. System architecture overview. Data ingestion and preprocessing. AI-based recommendation engine. User-facing interface and feedback mechanism. Results. AI-based recommendation outcomes. UI prototype evaluation. Case illustrations. Discussion.
References
Bibliografia: pp. 24-25.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Artificial intelligence and machine learning |
| Thesis Supervisor: | Italiano, Giuseppe Francesco |
| Academic Year: | 2024/2025 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 26 May 2026 13:01 |
| Last Modified: | 26 May 2026 13:01 |
| URI: | https://tesi.luiss.it/id/eprint/45917 |
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