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A Systematic Review of Nutrition Recommendation Systems: With Focus on Technical Aspects
S Abhari1, R Safdari2, L Azadbakht3
1PhD Candidate, Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Journal of Biomedical Physics & Engineering
|February 11, 2020
Summary
Nutrition recommendation systems (NRS) effectively aid users in adopting healthier diets. This review highlights hybrid and knowledge-based systems, often using mobile apps, as key to improving nutrition and promoting healthy lifestyles.
Area of Science:
- Nutrition Informatics
- Health Informatics
- Dietary Behavior Change
Background:
- Nutrition informatics offers new avenues for dietitians in healthcare.
- Recommendation systems are key technologies for guiding healthier eating habits.
- This is the first review to examine nutrition recommendation systems (NRS) and their features.
Purpose of the Study:
- To systematically review existing nutrition recommendation systems (NRS).
- To identify and characterize the common features and approaches within NRS.
- To provide insights for the development of effective NRS.
Main Methods:
- A systematic literature review adhering to the PRISMA strategy.
- Searches conducted across major scientific databases (PubMed, Web of Science, Scopus, Embase, IEEE).
- Inclusion/exclusion criteria applied by two independent reviewers, resulting in 25 studies.
Main Results:
- Hybrid recommender systems (40%) and knowledge-based systems (32%) were most prevalent in NRS.
- Rule-based and ontology techniques were frequently employed.
- Mobile applications were the most common platform for NRS deployment (28%).
Conclusions:
- Well-designed and evaluated NRS can significantly improve nutrition and promote healthy lifestyles.
- This review informs nutrition informatics specialists on developing effective NRS.
- NRS represent a valuable tool for public health and personalized nutrition.
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