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A Systematic Review on Food Recommender Systems for Diabetic Patients

Author

Listed:
  • Raciel Yera

    (Computer Science Department, University of Jaén, 23007 Jaén, Spain
    Computer Science Department, University of Ciego de Ávila, Ciego de Ávila 65100, Cuba)

  • Ahmad A. Alzahrani

    (Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Luis Martínez

    (Computer Science Department, University of Jaén, 23007 Jaén, Spain)

  • Rosa M. Rodríguez

    (Computer Science Department, University of Jaén, 23007 Jaén, Spain)

Abstract

Recommender systems are currently a relevant tool for facilitating access for online users, to information items in search spaces overloaded with possible options. With this goal in mind, they have been used in diverse domains such as e-commerce, e-learning, e-tourism, e-health, etc. Specifically, in the case of the e-health scenario, the computer science community has been focused on building recommender systems tools for supporting personalized nutrition by delivering user-tailored foods and menu recommendations, incorporating the health-aware dimension to a larger or lesser extent. However, it has been also identified the lack of a comprehensive analysis of the recent advances specifically focused on food recommendations for the domain of diabetic patients. This topic is particularly relevant, considering that in 2021 it was estimated that 537 million adults were living with diabetes, being unhealthy diets a major risk factor that leads to such an issue. This paper is centered on presenting a survey of food recommender systems for diabetic patients, supported by the PRISMA 2020 framework, and focused on characterizing the strengths and weaknesses of the research developed in this direction. The paper also introduces future directions that can be followed in the next future, for guaranteeing progress in this necessary research area.

Suggested Citation

  • Raciel Yera & Ahmad A. Alzahrani & Luis Martínez & Rosa M. Rodríguez, 2023. "A Systematic Review on Food Recommender Systems for Diabetic Patients," IJERPH, MDPI, vol. 20(5), pages 1-24, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4248-:d:1082566
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    References listed on IDEAS

    as
    1. Shi Yin & Chao Ren & Yuan Shi & Junyi Hua & Hsiang-Yu Yuan & Lin-Wei Tian, 2022. "A Systematic Review on Modeling Methods and Influential Factors for Mapping Dengue-Related Risk in Urban Settings," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    2. Ghadah Abu-Shawish & Joseph Betsy & Sukumaran Anil, 2022. "Is Obesity a Risk Factor for Periodontal Disease in Adults? A Systematic Review," IJERPH, MDPI, vol. 19(19), pages 1-20, October.
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