Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at, first published .
Health Recommender Systems: Systematic Review

Health Recommender Systems: Systematic Review

Health Recommender Systems: Systematic Review


  1. Cai Y, Yu F, Kumar M, Gladney R, Mostafa J. Health Recommender Systems Development, Usage, and Evaluation from 2010 to 2022: A Scoping Review. International Journal of Environmental Research and Public Health 2022;19(22):15115 View
  2. Zhou X, Chen L, Liu H. Applications of Machine Learning Models to Predict and Prevent Obesity: A Mini-Review. Frontiers in Nutrition 2022;9 View
  3. Stefanidis K, Tsatsou D, Konstantinidis D, Gymnopoulos L, Daras P, Wilson-Barnes S, Hart K, Cornelissen V, Decorte E, Lalama E, Pfeiffer A, Hassapidou M, Pagkalos I, Argiriou A, Rouskas K, Hadjidimitriou S, Charisis V, Dias S, Diniz J, Telo G, Silva H, Bensenousi A, Dimitropoulos K. PROTEIN AI Advisor: A Knowledge-Based Recommendation Framework Using Expert-Validated Meals for Healthy Diets. Nutrients 2022;14(20):4435 View
  4. Hors-Fraile S, Candel M, Schneider F, Malwade S, Nunez-Benjumea F, Syed-Abdul S, Fernandez-Luque L, de Vries H. Applying Collective Intelligence in Health Recommender Systems for Smoking Cessation: A Comparison Trial. Electronics 2022;11(8):1219 View
  5. Newn J, Kelly R, D'Alfonso S, Lederman R. Examining and Promoting Explainable Recommendations for Personal Sensing Technology Acceptance. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(3):1 View
  6. Bhimavarapu U, Sreedevi M, Chintalapudi N, Battineni G. Physical Activity Recommendation System Based on Deep Learning to Prevent Respiratory Diseases. Computers 2022;11(10):150 View
  7. Sun Y, Zhou J, Ji M, Pei L, Wang Z. Development and Evaluation of Health Recommender Systems: Systematic Scoping Review and Evidence Mapping. Journal of Medical Internet Research 2023;25:e38184 View
  8. Honka A, Nieminen H, Simila H, Kaartinen J, Gils M. A Comprehensive User Modeling Framework and a Recommender System for Personalizing Well-Being Related Behavior Change Interventions: Development and Evaluation. IEEE Access 2022;10:116766 View
  9. Chaturvedi A, Aylward B, Shah S, Graziani G, Zhang J, Manuel B, Telewa E, Froelich S, Baruwa O, Kulkarni P, Ξ W, Kunkle S. Content Recommendation Systems in Web-Based Mental Health Care: Real-world Application and Formative Evaluation. JMIR Formative Research 2023;7:e38831 View
  10. Chen J, Baxter S. Applications of natural language processing in ophthalmology: present and future. Frontiers in Medicine 2022;9 View
  11. Wunderlich P, Wiegräbe F, Dörksen H. Digital Case Manager—A Data-Driven Tool to Support Family Caregivers with Initial Guidance. International Journal of Environmental Research and Public Health 2023;20(2):1215 View
  12. Greenberg K, Poupko T, Sorotzkin D, Keidar O, Zwas D. Development and usage of a health recommendation web tool (HeaRT) designed to inform women of personalized preventive health recommendations. Internet Interventions 2023;31:100599 View
  13. Kondylakis H, Chicchi Giglioli I, Katehakis D, Aldemir H, Zikas P, Papagiannakis G, Hors-Fraile S, González-Sanz P, Apostolakis K, Stephanidis C, Núñez-Benjumea F, Baños-Rivera R, Fernandez-Luque L, Kouroubali A. A Digital Health Intervention for Stress and Anxiety Relief in Perioperative Care: Protocol for a Feasibility Randomized Controlled Trial. JMIR Research Protocols 2022;11(11):e38536 View
  14. Barros M, Moitinho A, Couto F. SeEn: Sequential enriched datasets for sequence-aware recommendations. Scientific Data 2022;9(1) View
  15. Papachristou N, Kotronoulas G, Dikaios N, Allison S, Eleftherochorinou H, Rai T, Kunz H, Barnaghi P, Miaskowski C, Bamidis P. Digital Transformation of Cancer Care in the Era of Big Data, Artificial Intelligence and Data-Driven Interventions: Navigating the Field. Seminars in Oncology Nursing 2023;39(3):151433 View
  16. Bonicalzi S, De Caro M, Giovanola B. Artificial Intelligence and Autonomy: On the Ethical Dimension of Recommender Systems. Topoi 2023;42(3):819 View
  17. del Rio A, Jimenez J, Medina-García R, Lozano-Hernández C, Alvarez F, Serrano J. Improving Quality of Life in Chronic Patients: A Pilot Study on the Effectiveness of a Health Recommender System and Its Usability. Applied Sciences 2023;13(10):5850 View
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  24. Singh A, Schooley B, Patel N. Effects of User-Reported Risk Factors and Follow-Up Care Activities on Satisfaction With a COVID-19 Chatbot: Cross-Sectional Study. JMIR mHealth and uHealth 2023;11:e43105 View
  25. Woodman R, Mangoni A. A comprehensive review of machine learning algorithms and their application in geriatric medicine: present and future. Aging Clinical and Experimental Research 2023;35(11):2363 View
  26. Afanasieva T, Platov P. Formation of Digital Patient-Oriented Recommendations Based on Multilevel Granulation. Pattern Recognition and Image Analysis 2023;33(3):221 View
  27. Cai T, Yuan C. Iron triangle framework for the health recommender system: perspectives from intelligent care. Interdisciplinary Nursing Research 2023;2(2):65 View
  28. Pato M, Barros M, Couto F. Survey on Recommender Systems for Biomedical Items in Life and Health Sciences. ACM Computing Surveys 2024 View
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Books/Policy Documents

  1. Chen C, Gruen D, Harris J, Hendler J, McGuinness D, Monti M, Rastogi N, Seneviratne O, Zaki M. Personal Health Informatics. View
  2. Lacave C, Molina A. Proceedings TEEM 2022: Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality. View
  3. Oliboni B, Dalla Vecchia A, Marastoni N, Quintarelli E. Advances in Smart Healthcare Paradigms and Applications. View
  4. Samih A, Hamane Z, Ghadi A, Fennan A. International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023). View
  5. Gupta S, Vashist R, Sahni R, Dwivedi K, Penumala S, Arockiasamy K. Smart Grids as Cyber Physical Systems. View