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

Natural Language Processing (650) Consumer & Patient Education and Shared-Decision Making (641) Chronic Conditions (219) Ontologies, Classifications, and Coding (227)

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 (21) Tweetations (6) Metrics

Journals

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  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

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  1. Prajapati J, Brahmbhatt K. Proceedings of the International e-Conference on Intelligent Systems and Signal Processing. View
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