Review and analysis of artificial intelligence and association rules in nutrition monitoring systems

Kuljanova , Shukurjon, Khujayev , Otabek

Techscience.uz - техника фанлари долзарб масалалри · 2026-yil

Annotatsiya

This article examines and analyzes artificial intelligence technologies and associative rule mining in dietary monitoring systems. Intelligent analysis of large volumes of dietary data enables the development of personalized recommendations for healthy eating. The article discusses the general model of dietary monitoring systems, the role of artificial intelligence in individual nutrition, and the theoretical foundations of associative rule mining algorithms — Apriori and FP-Growth. Additionally, the advantages and practical aspects of forming an individualized diet based on the integration of artificial intelligence and associative rules are highlighted. The research results demonstrate the effectiveness of using intelligent systems to ensure healthy nutrition and prevent diet-related diseases.

Maqola ma’lumotlari
MualliflarKuljanova , Shukurjon, Khujayev , Otabek
JurnalTechscience.uz - техника фанлари долзарб масалалри
NashriyotЖиззах политехника институти
ISSN3030-3702, 3030-3702
Nashr sanasi2026-02-14
Jild4
Son2
Betlar17-22
TilIngliz
Ilmiy sohaTexnika
DOI10.47390/ts-v4i2y2026n02
Indeksga qo‘shilgan2026-08-26

DOI: 10.47390/ts-v4i2y2026n02 · Maqolaning asl sahifasi

Kalit so‘zlar

artificial intelligence, dietary monitoring, personalized diet, associative rules, Apriori algorithm, FP-Growth algorithm, intelligent data analysis, sun’iy intellekt, ovqatlanish monitoringi, individual ratsion, assosativ qoidalar, Apriori algoritmi, FP-Growth algoritmi, ma’lumotlarni intellektual tahlil qilish.

Ilmiy soha

Texnika

Iqtibos keltirish

APAKuljanova , Shukurjon, & Khujayev , Otabek (2026). REVIEW AND ANALYSIS OF ARTIFICIAL INTELLIGENCE AND ASSOCIATION RULES IN NUTRITION MONITORING SYSTEMS. Techscience.uz - техника фанлари долзарб масалалри, 4(2), 17-22. https://doi.org/10.47390/ts-v4i2y2026n02
GOST (OAK)Kuljanova , Shukurjon, Khujayev , Otabek REVIEW AND ANALYSIS OF ARTIFICIAL INTELLIGENCE AND ASSOCIATION RULES IN NUTRITION MONITORING SYSTEMS // Techscience.uz - техника фанлари долзарб масалалри. – 2026. – T. 4, № 2. – P. 17-22. – DOI: 10.47390/ts-v4i2y2026n02.
MLAKuljanova , Shukurjon, and Khujayev , Otabek. “REVIEW AND ANALYSIS OF ARTIFICIAL INTELLIGENCE AND ASSOCIATION RULES IN NUTRITION MONITORING SYSTEMS.” Techscience.uz - техника фанлари долзарб масалалри, 4(2), 17-22, 2026. https://doi.org/10.47390/ts-v4i2y2026n02
ChicagoKuljanova , Shukurjon, and Khujayev , Otabek. “REVIEW AND ANALYSIS OF ARTIFICIAL INTELLIGENCE AND ASSOCIATION RULES IN NUTRITION MONITORING SYSTEMS.” Techscience.uz - техника фанлари долзарб масалалри, 4(2), 17-22 (2026). https://doi.org/10.47390/ts-v4i2y2026n02
HarvardKuljanova , Shukurjon, and Khujayev , Otabek (2026) ‘REVIEW AND ANALYSIS OF ARTIFICIAL INTELLIGENCE AND ASSOCIATION RULES IN NUTRITION MONITORING SYSTEMS’, Techscience.uz - техника фанлари долзарб масалалри, 4(2), 17-22. https://doi.org/10.47390/ts-v4i2y2026n02
BibTeX
@article{kuljanovashukurjon2026,
  title = {REVIEW AND ANALYSIS OF ARTIFICIAL INTELLIGENCE AND ASSOCIATION RULES IN NUTRITION MONITORING SYSTEMS},
  author = {Kuljanova , Shukurjon and Khujayev , Otabek},
  journal = {Techscience.uz - техника фанлари долзарб масалалри},
  year = {2026},
  volume = {4},
  number = {2},
  pages = {17-22},
  doi = {10.47390/ts-v4i2y2026n02},
  url = {https://doi.org/10.47390/ts-v4i2y2026n02}
}

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