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Abhari, Sh, Safdari, Reza, B Lankarani, K, Azadbakht, L, Niakan Kalhori, Sh R, Honarvar, B, Ayyoubzadeh, S M, Karbasi, Z, Zakerabasali, S, Jalilpiran, Y. (1398). A Systematic Review of Nutrition Recommendation Systems: With Focus on Technical Aspects. سامانه مدیریت نشریات علمی, 9(6), 591-602. doi: 10.31661/jbpe.v0i0.1248
Sh Abhari; Reza Safdari; K B Lankarani; L Azadbakht; Sh R Niakan Kalhori; B Honarvar; S M Ayyoubzadeh; Z Karbasi; S Zakerabasali; Y Jalilpiran. "A Systematic Review of Nutrition Recommendation Systems: With Focus on Technical Aspects". سامانه مدیریت نشریات علمی, 9, 6, 1398, 591-602. doi: 10.31661/jbpe.v0i0.1248
Abhari, Sh, Safdari, Reza, B Lankarani, K, Azadbakht, L, Niakan Kalhori, Sh R, Honarvar, B, Ayyoubzadeh, S M, Karbasi, Z, Zakerabasali, S, Jalilpiran, Y. (1398). 'A Systematic Review of Nutrition Recommendation Systems: With Focus on Technical Aspects', سامانه مدیریت نشریات علمی, 9(6), pp. 591-602. doi: 10.31661/jbpe.v0i0.1248
Abhari, Sh, Safdari, Reza, B Lankarani, K, Azadbakht, L, Niakan Kalhori, Sh R, Honarvar, B, Ayyoubzadeh, S M, Karbasi, Z, Zakerabasali, S, Jalilpiran, Y. A Systematic Review of Nutrition Recommendation Systems: With Focus on Technical Aspects. سامانه مدیریت نشریات علمی, 1398; 9(6): 591-602. doi: 10.31661/jbpe.v0i0.1248

A Systematic Review of Nutrition Recommendation Systems: With Focus on Technical Aspects

Journal of Biomedical Physics and Engineering
مقاله 2، دوره 9، شماره 6، بهمن و اسفند 2019، صفحه 591-602    اصل مقاله (760.41 K)
نوع مقاله: Systematic Review
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.1248
نویسندگان
Sh Abhari1؛ Reza Safdari2؛ K B Lankarani* 3؛ L Azadbakht4؛ Sh R Niakan Kalhori5؛ B Honarvar6؛ S M Ayyoubzadeh1؛ Z Karbasi7؛ S Zakerabasali1؛ Y Jalilpiran8
1PhD Candidate, Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
2PhD, Professor, Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
3MD, Professor, Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
4PhD, Professor, Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
5PhD, Associate Professor, Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
6MD, Associate Professor, Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
7PhD Candidate, Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran\
8PhD student, Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
چکیده
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.
کلیدواژه‌ها
Nutrition؛ Diet؛ Information Science؛ Informatics؛ Computing Methodologies
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