MACHINE LEARNING – BASED PREDICTION OF VITAMIN DEFICIENCY DISEASES AND PERSONALIZED FOOD RECOMMENDATIONS
<p>A <a href="https://ijetrm.com/issues/files/Aug-2025-20-1755696469-AUG24.pdf" target="_blank" rel="noopener">machine learning</a>-based system that employs several algorithms to analyse personal health data, detect<br>vitamin deficiencies, and forecast related illnesses is suggested as a solution to these problems. To<br>guarantee accurate disease prediction, the most accurate model is used. Additionally, the system makes<br>use of extensive nutritional databases to suggest meals high in vitamins based on the user's dietary<br>requirements and interests. This technique attempts to improve general well-being and encourage the<br>adoption of balanced, nutrient-dense eating habits by providing individualized dietary and health advice.</p>
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-20
- DOI
- https://doi.org/10.5281/zenodo.16911573
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00