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

Natural Language Processing (868) Consumer & Patient Education and Shared-Decision Making (817) Chronic Conditions (398) Ontologies, Classifications, and Coding (307)

Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17642, first published .
Using Natural Language Processing Techniques to Provide Personalized Educational Materials for Chronic Disease Patients in China: Development and Assessment of a Knowledge-Based Health Recommender System

Using Natural Language Processing Techniques to Provide Personalized Educational Materials for Chronic Disease Patients in China: Development and Assessment of a Knowledge-Based Health Recommender System

Using Natural Language Processing Techniques to Provide Personalized Educational Materials for Chronic Disease Patients in China: Development and Assessment of a Knowledge-Based Health Recommender System

Authors of this article:

Zheyu Wang1, 2 Author Orcid Image ;   Haoce Huang1 Author Orcid Image ;   Liping Cui3 Author Orcid Image ;   Juan Chen3 Author Orcid Image ;   Jiye An1 Author Orcid Image ;   Huilong Duan1 Author Orcid Image ;   Huiqing Ge4 Author Orcid Image ;   Ning Deng1, 2 Author Orcid Image
Article Authors Cited by (33) Tweetations (6) Metrics

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  1. Deng N, Chen J, Liu Y, Wei S, Sheng L, Lu R, Wang Z, Zhu J, An J, Wang B, Lin H, Wang X, Zhou Y, Duan H, Ran P. Using Mobile Health Technology to Deliver a Community-Based Closed-Loop Management System for Chronic Obstructive Pulmonary Disease Patients in Remote Areas of China: Development and Prospective Observational Study. JMIR mHealth and uHealth 2020;8(11):e15978 View
  2. Wang Z, An J, Lin H, Zhou J, Liu F, Chen J, Duan H, Deng N. Pathway-Driven Coordinated Telehealth System for Management of Patients With Single or Multiple Chronic Diseases in China: System Development and Retrospective Study. JMIR Medical Informatics 2021;9(5):e27228 View
  3. De Croon R, Van Houdt L, Htun N, Štiglic G, Vanden Abeele V, Verbert K. Health Recommender Systems: Systematic Review. Journal of Medical Internet Research 2021;23(6):e18035 View
  4. Grabar N, Grouin C. Year 2020 (with COVID): Observation of Scientific Literature on Clinical Natural Language Processing. Yearbook of Medical Informatics 2021;30(01):257 View
  5. Yang Y, Lin Y, Chen Z, Lei Y, Liu X, Zhang Y, Sun Y, Wang X. SNPERS: A Physical Exercise Recommendation System Integrating Statistical Principles and Natural Language Processing. Electronics 2022;12(1):61 View
  6. Zhang F, Yu L, Shen J, Arif M. Automatic Scoring of English Essays Based on Machine Learning Technology in a Wireless Network Environment. Security and Communication Networks 2022;2022:1 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. Khalili-Mahani N, Holowka E, Woods S, Khaled R, Roy M, Lashley M, Glatard T, Timm-Bottos J, Dahan A, Niesters M, Hovey R, Simon B, Kirmayer L. Play the Pain: A Digital Strategy for Play-Oriented Research and Action. Frontiers in Psychiatry 2021;12 View
  9. 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
  10. Wu D, Huyan X, She Y, Hu J, Duan H, Deng N. Exploring and Characterizing Patient Multibehavior Engagement Trails and Patient Behavior Preference Patterns in Pathway-Based mHealth Hypertension Self-Management: Analysis of Use Data. JMIR mHealth and uHealth 2022;10(2):e33189 View
  11. Fan Z, Cui L, Ye Y, Li S, Deng N. Telehealth System Based on the Ontology Design of a Diabetes Management Pathway Model in China: Development and Usability Study. JMIR Medical Informatics 2022;10(12):e42664 View
  12. Ammar N, Olusanya O, Melton C, Chinthala L, Huang X, White B, Shaban-Nejad A. Digital Personal Health Coaching Platform for Promoting Human Papillomavirus Infection Vaccinations and Cancer Prevention: Knowledge Graph-Based Recommendation System. JMIR Formative Research 2023;7:e50210 View
  13. Sharma I, Nguyen T, Singh S, Ongwere T. Predicting an Optimal Medication/Prescription Regimen for Patient Discordant Chronic Comorbidities Using Multi-Output Models. Information 2024;15(1):31 View
  14. 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
  15. Lin H, Ni L, Phuong C, Hong J. Natural Language Processing for Radiation Oncology: Personalizing Treatment Pathways. Pharmacogenomics and Personalized Medicine 2024;Volume 17:65 View
  16. Pal S, Pramanik P, Choudhury P. Learner’s intention analysis to mitigate the cold start problem in personalized learning recommendation systems. Multimedia Tools and Applications 2024;84(19):21273 View
  17. Weingott S, Parkinson J. The application of artificial intelligence in health communication development: A scoping review. Health Marketing Quarterly 2025;42(1):67 View
  18. Vieira A, Carneiro J, Novais P, Corchado J, Marreiros G. A systematic review on recommendation systems applied to chronic diseases. Intelligent Data Analysis: An International Journal 2023;27(5):1223 View
  19. Hwang M, Zheng Y, Cho Y, Jiang Y. AI Applications for Chronic Condition Self-Management: Scoping Review. Journal of Medical Internet Research 2025;27:e59632 View
  20. Zhang J, Hoevenaar-Blom M, Jian X, Hou H, Ge S, Brayne C, Eggink E, Hafdi M, He M, Wang G, Wang W, Zhang W, Yu Y, Niu Y, Lyu J, Song L, Wang W, Wang Y, Moll van Charante E, Song M. Implementation of a coach-supported mHealth intervention for dementia prevention in China: a qualitative study among Chinese participants and coaches in the PRODEMOS trial. Journal of Global Health 2025;15 View
  21. Chen S, Bai W. Artificial intelligence technology in ophthalmology public health: current applications and future directions. Frontiers in Cell and Developmental Biology 2025;13 View
  22. Johnston S, Barsotti E, Bakogiannis C, Fedorowski A, Ricci F, Heller E, Sheldon R, Sutton R, Shen W, Thiruganasambandamoorthy V, Adhaduk M, Parker W, Aburizik A, Haselton C, Cuskey A, Lee S, Johansson M, Macfarlane D, Dominic P, Abe H, Rao B, Mudireddy A, Sonka M, Sandhu R, Kenny R, Statz G, Gopinathannair R, Benditt D, Dipaola F, Gatti M, Menè R, Giaj Levra A, Shiffer D, Costantino G, Furlan R, Ruwald M, Vassilikos V, Gebska M, Olshansky B. The hope and the hype of artificial intelligence for syncope management. European Heart Journal - Digital Health 2025 View
  23. Grosjean S, Giguère L, Leach J, Mestre T, Raina P, Pai N. Empowering self-care: leveraging user insights to co-design AI-powered self-care technology for Parkinson's disease. FACETS 2025;10:1 View

Books/Policy Documents

  1. Prajapati J, Brahmbhatt K. Proceedings of the International e-Conference on Intelligent Systems and Signal Processing. View
  2. Khabarov V, Volegzhanina I. International Scientific Siberian Transport Forum TransSiberia - 2021. View
  3. . Artificial and Cognitive Computing for Sustainable Healthcare Systems in Smart Cities. View
  4. Singh G, Kumar R, Ghosh R, Punia A, Sharma N, Bhakuni P. Harnessing AI and Machine Learning for Precision Wellness. View

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  1. Srbecky R, Bühler F, Wetzel S, Winterhagen M, Fraas W, Dettmers J, Hemmje M. 2022 International Conference on Computational Science and Computational Intelligence (CSCI). Concept and Realization to Automatically Generate Test and Training Data for a Natural Language Processing Algorithm for the Assessment of Free Text Answers for Digital Courses on Work Design in the Context of Psychology Studies in Higher Educational Institutions View
  2. Iqbal M, Laili Udhiah R, Rana Nugraha T, Pao H. 2023 IEEE International Conference on Knowledge Graph (ICKG). ASAGeR: Automated Short Answer Grading Regressor via Sentence Simplification View
  3. Kaouni M, Lakrami F, Labouidya O. 2023 7th IEEE Congress on Information Science and Technology (CiSt). Integrating Artificial Intelligence and Natural Language Processing in E-Learning Platforms: A Review of Opportunities and Limitations View
  4. Sharif M, Hoang P, Huang J, Wang W, Molina D, Kumar A, Liu S, Javed F. 2024 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings). Efficient Health Class Recommendations for Kaiser Permanente Members: A Scalable Embedding-Based Approach View
  5. Ju H, Jin K, Tang J, Zhang Y, Wang B, Xiong Z. 2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom). Future Healthcare Recommender Systems: Applications, Open Issues, and Challenges View
  6. G A, S G, S M M, Mithuna S. 2025 International Conference on Electronics and Renewable Systems (ICEARS). Personalized Recommendations System for Mental Health Support using NLP View