TY - JOUR ID - 45880 TI - A Systematic Review of Nutrition Recommendation Systems: With Focus on Technical Aspects JO - Journal of Biomedical Physics and Engineering JA - JBPE LA - en SN - AU - Abhari, Sh AU - Safdari, Reza AU - B Lankarani, K AU - Azadbakht, L AU - Niakan Kalhori, Sh R AU - Honarvar, B AU - Ayyoubzadeh, S M AU - Karbasi, Z AU - Zakerabasali, S AU - Jalilpiran, Y AD - PhD Candidate, Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran AD - PhD, Professor, Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran AD - MD, Professor, Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran AD - PhD, Professor, Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran AD - PhD, Associate Professor, Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran AD - MD, Associate Professor, Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran AD - PhD Candidate, Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran\ AD - PhD student, Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran Y1 - 2019 PY - 2019 VL - 9 IS - 6 SP - 591 EP - 602 KW - Nutrition KW - Diet KW - information science KW - Informatics KW - computing methodologies DO - 10.31661/jbpe.v0i0.1248 N2 - Background: Nutrition informatics has become a novel approach for registered dietitians to practice in this field and make a profit for health care. Recommendation systems considered as an effective technology into aid users to adjust their eating behavior and achieve the goal of healthier food and diet. The purpose of this study is to review nutrition recommendation systems (NRS) and their characteristics for the first time.Material and Methods: The systematic review was conducted using a comprehensive selection of scientific databases as reference sources, allowing access to diverse publications in the field. The process of articles selection was based on the PRISMA strategy. We identified keywords from our initial research, MeSH database and expert’s opinion. Databases of PubMed, Web of Sciences, Scopus, Embase, and IEEE were searched. After evaluating, they obtained records from databases by two independent reviewers and inclusion and exclusion criteria were applied to each retrieved work to select those of interest. Finally, 25 studies were included. Results: Hybrid recommender systems and knowledge-based recommender systems with 40% and 32%, respectively, were the mostly recommender types used in NRS. In NRS, rule-based and ontology techniques were used frequently. The frequented platform that applied in NRS was a mobile application with 28%.Conclusion: If NRS was properly designed, implemented and finally evaluated, it could be used as an effective tool to improve nutrition and promote a healthy lifestyle. This study can help to inform specialists in the nutrition informatics domain, which was necessary to design and develop NRS. UR - https://jbpe.sums.ac.ir/article_45880.html L1 - https://jbpe.sums.ac.ir/article_45880_3934c8e6edcb3480942ac5ee1a0086cf.pdf ER -