Intelligent methods in managing of individual diet

• Date: 2025
• Main Authors: Федорченко, Є. М., Олійник, А. О., Міхайлова, М. С., Зайко, Т. А., Степаненко, О. О., Федорченко, Ю. В., Федорончак, Т. В.
• Format: Article
• Language: Ukrainian
• Published: Інститут проблем реєстрації інформації НАН України 2025
• Subjects: greedy algorithm; linear programming; method Monte Carlo; genetic algorithm; Random Forest; XGBoost; neural measurement; individual diet; optimization; forecasting; BMI; basal metabolism; accuracy; fluidity; variability
• Online Access: https://drsp.ipri.kiev.ua/article/view/354582
• Journal Title: Data Recording, Storage & Processing

The study examines an approach to generating personalized dietary recommendations based on a combination of optimization methods and machine learning techniques. The relevance of this research is determined by the need to develop intelligent decision-support systems in the field of healthy nutrition...