THE INDEPENDENT RESEARCH REGISTRY FOR FOOD, NUTRITION AND HEALTH

 

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Nutrition, Data Science and Artificial Intelligence

The Nutrition, Data Science, and Artificial Intelligence special collection aims to explore the intersection of nutrition science, data analytics, and AI. We invite submissions that leverage advanced computational techniques to analyse large-scale dietary data, predict nutritional outcomes, and develop innovative solutions for personalised dietary recommendations and dietary pattern analysis.
 

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ID Title Published Date Hits
107 Thought on Food: A Systematic Review of Current Approaches and Challenges for Food Intake Detection 22 January 2025 12
106 Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis 22 January 2025 30
105 A Systematic Review of Artificial Intelligence Chatbots for Promoting Physical Activity, Healthy Diet, and Weight Loss 22 January 2025 27
104 Precision Nutrition: A Systematic Literature Review 22 January 2025 17
103 Artificial Intelligence and Machine Learning Technologies for Personalized Nutrition: A Review 22 January 2025 28
102 Artificial Intelligence in Malnutrition: A Systematic Literature Review 22 January 2025 34
101 Systematic Review of Machine Learning Applied to the Prediction of Obesity and Overweight 22 January 2025 19
100 Deep Neural Network for Food Image Classification and Nutrient Identification: A Systematic Review 22 January 2025 19
99 Computer Vision and Machine Learning Based Approaches for Food Security: A Review 22 January 2025 14
16 Need for a nutrition-specific scientific paradigm for research quality improvement. 02 October 2024 44