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
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article

MACHINE LEARNING – BASED PREDICTION OF VITAMIN DEFICIENCY DISEASES AND PERSONALIZED FOOD RECOMMENDATIONS

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

MACHINE LEARNING – BASED PREDICTION OF VITAMIN DEFICIENCY DISEASES AND PERSONALIZED FOOD RECOMMENDATIONS

article en

Abstract

<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>

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 67%
Geochemistry and Geologic Mapping
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MACHINE LEARNING – BASED PREDICTION OF VITAMIN DEFICIENCY DISEASES AND PERSONALIZED FOOD RECOMMENDATIONS · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS