This paper is in the following e-collection/theme issue:

Digital Health Reviews (1318)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18035, first published .
Health Recommender Systems: Systematic Review

Health Recommender Systems: Systematic Review

Health Recommender Systems: Systematic Review

Authors of this article:

Robin De Croon1 Author Orcid Image ;   Leen Van Houdt1 Author Orcid Image ;   Nyi Nyi Htun1 Author Orcid Image ;   Gregor Štiglic2 Author Orcid Image ;   Vero Vanden Abeele1 Author Orcid Image ;   Katrien Verbert1 Author Orcid Image
Article Authors Cited by (61) Tweetations (12) Metrics

Journals

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  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
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  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
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  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
  18. Coppens I, De Pessemier T, Martens L. Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders. User Modeling and User-Adapted Interaction 2024;34(1):147 View
  19. Singh A, Schooley B, Floyd S, Pill S, Brooks J. Patient preferences as human factors for health data recommender systems and shared decision making in orthopaedic practice. Frontiers in Digital Health 2023;5 View
  20. Bohn T, Ferrini K, Stahl C. LIFANA – toward developing a meal recommender system as a dietary support app for the elderly. International Journal for Vitamin and Nutrition Research 2024;94(3-4):221 View
  21. Leng M, Sun Y, Li C, Han S, Wang Z. Usability Evaluation of a Knowledge Graph–Based Dementia Care Intelligent Recommender System: Mixed Methods Study. Journal of Medical Internet Research 2023;25:e45788 View
  22. Bondevik J, Bennin K, Babur Ö, Ersch C. A systematic review on food recommender systems. Expert Systems with Applications 2024;238:122166 View
  23. Papastratis I, Stergioulas A, Konstantinidis D, Daras P, Dimitropoulos K. Can ChatGPT provide appropriate meal plans for NCD patients?. Nutrition 2024;121:112291 View
  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 View
  28. Pato M, Barros M, Couto F. Survey on Recommender Systems for Biomedical Items in Life and Health Sciences. ACM Computing Surveys 2024;56(6):1 View
  29. Wang J, Maeda A, Kawagoe K. MultArtRec: A Multimodal Neural Topic Modeling for Integrating Image and Text Features in Artwork Recommendation. Electronics 2024;13(2):302 View
  30. Wang X, Wuji S, Liu Y, Luo R, Qiu C. Study on the impact of recommendation algorithms on user perceived stress and health management behaviour in short video platforms. Information Processing & Management 2024;61(3):103674 View
  31. Kobrinskii B. Intelligent Recommender Systems for Medicine. Particularities and Limitations. Scientific and Technical Information Processing 2023;50(6):563 View
  32. Yu X, Shao Z, Dong K, Chen C. A Novel Truth Discovery Approach for Health Recommendation Systems. IEEE Transactions on Consumer Electronics 2024;70(1):2435 View
  33. Bucher A, Blazek E, Symons C. How are Machine Learning and Artificial Intelligence Used in Digital Behavior Change Interventions? A Scoping Review. Mayo Clinic Proceedings: Digital Health 2024;2(3):375 View
  34. Tiribelli S, Calvaresi D. Rethinking Health Recommender Systems for Active Aging: An Autonomy-Based Ethical Analysis. Science and Engineering Ethics 2024;30(3) View
  35. Jansen L, Bennin K, van Kleef E, Van Loo E. Online grocery shopping recommender systems: Common approaches and practices. Computers in Human Behavior 2024;159:108336 View
  36. Bag A, Sengupta D. Computational frameworks for zoonotic disease control in Society 5.0: opportunities, challenges and future research directions. AI & SOCIETY 2024 View
  37. Rothlisberger P. AI-Powered Patient-Centered Care: A Call to Action for Innovation. Journal of Healthcare Management 2024;69(4):255 View
  38. Sun Y, Leng M, Lu W, Li B, Lv F, Zhang W, Wang Z. A knowledge graph-based recommender system for dementia care: Design and evaluation study. International Journal of Medical Informatics 2024;191:105554 View
  39. Jiang H, Mi Z, Xu W. Online Medical Consultation Service–Oriented Recommendations: Systematic Review. Journal of Medical Internet Research 2024;26:e46073 View
  40. Alonso Barriuso A, Fernández-Isabel A, Martín de Diego I, Ardoiz A, J. Viseu Pinheiro J. Recommendation system of scientific articles from discharge summaries. Engineering Applications of Artificial Intelligence 2024;136:109028 View
  41. António J, Malheiro R, Jardim S. Feedback Collection and Nearest-Neighbor Profiling for Recommendation Systems in Healthcare Scenarios. Technologies 2024;12(8):127 View
  42. Afanasieva T, Platov P, Komolov A, Kuzlyakin A. Leveraging ChatGPT and Long Short-Term Memory in Recommender Algorithm for Self-Management of Cardiovascular Risk Factors. Mathematics 2024;12(16):2582 View
  43. Shi X, Zhang Y, Pujahari A, Mishra S. When latent features meet side information: A preference relation based graph neural network for collaborative filtering. Expert Systems with Applications 2025;260:125423 View
  44. Ananthakrishnan A, Milne-Ives M, Shankar R, Meinert E. Evaluation of health recommender systems: a scoping review protocol. BMJ Open 2024;14(10):e083359 View
  45. Raza S, Ding C. Improving Clinical Decision Making With a Two-Stage Recommender System. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2024;21(5):1180 View
  46. Alfaifi Y. Recommender Systems Applications: Data Sources, Features, and Challenges. Information 2024;15(10):660 View
  47. Ananthakrishnan A, Milne-Ives M, Cong C, Shankar R, Lakey B, Alexander J, Tapuria A, Marchal A, Joy E, Meinert E. The evaluation of health recommender systems: A scoping review. International Journal of Medical Informatics 2025;195:105697 View
  48. Woods C, Furst M, Dissanayake M, Koerner J, de Miquel C, Lukersmith S, Rosenberg S, Salvador-Carulla L. Mental Health Care Navigation Tools in Australia: Infoveillance Study. JMIR Public Health and Surveillance 2024;10:e60079 View

Books/Policy Documents

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