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Abdurrahman Sarnikli

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Open access Sep 2026

Predicting rule-based dairy milk intake recommendations using machine learning: A robustness, calibration, and explainability study

Personalized dairy guidance is clinically complex because nutritional needs, intolerance, allergy, bone health, and cardiometabolic factors can point toward different decisions. Machine learning can help study how structured variables map to recommendations, but performance on synthetic labels must not be confused with...

Hamza Shahbaz, Fazal Khaliq, Abdurrahman Sarnikli · 0 citations

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