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

Artificial Intelligence (2129) Machine Learning (2076) Participatory Medicine & E-Patients (873) Information Quality in Digital Media (407) Information Seeking, Information Needs (561) Quality/Credibility of eHealth Information and Trust Issues (654) Consumer & Patient Education and Shared-Decision Making (862) Viewpoints and Perspectives (619)

Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25497, first published .
Harnessing Machine Learning to Personalize Web-Based Health Care Content

Harnessing Machine Learning to Personalize Web-Based Health Care Content

Harnessing Machine Learning to Personalize Web-Based Health Care Content

Authors of this article:

Ahmad Guni1, 2 Author Orcid Image ;   Pasha Normahani1, 2 Author Orcid Image ;   Alun Davies1, 2 Author Orcid Image ;   Usman Jaffer1, 2 Author Orcid Image
Article Authors Cited by (14) Tweetations (7) Metrics

Journals

  1. Glavaški M, Preveden A, Jakovljević Đ, Filipović N, Velicki L. Subtypes and Mechanisms of Hypertrophic Cardiomyopathy Proposed by Machine Learning Algorithms. Life 2022;12(10):1566 View
  2. Teo J, Ramachandran H, Jiang Y, Seah C, Lim S, Nguyen H, Wang W. The characteristics and acceptance of Technology‐Enabled diabetes prevention programs (t‐DPP) amongst individuals with prediabetes: A scoping review. Journal of Clinical Nursing 2023;32(17-18):5562 View
  3. Kshetri N, Dwivedi Y, Davenport T, Panteli N. Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda. International Journal of Information Management 2024;75:102716 View
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  5. Mao Y, Wang J, Luo Y, Lin W, Yao J, Wen J, Chen G. Socioeconomic disparities and regional environment are associated with cervical lymph node metastases in children and adolescents with differentiated thyroid cancer: developing a web-based predictive model. Frontiers in Endocrinology 2024;15 View
  6. Coskun A. Diagnosis Based on Population Data versus Personalized Data: The Evolving Paradigm in Laboratory Medicine. Diagnostics 2024;14(19):2135 View
  7. Liu X, Susarla A, Padman R. Promoting Health Literacy With Human-in-the-Loop Video Understandability Classification of YouTube Videos: Development and Evaluation Study. Journal of Medical Internet Research 2025;27:e56080 View
  8. Wang S, Liu T, Long Z, Qin Y, Sun B, Han Z, Zhang X, Li L, Lei M. CHRONIC CRITICAL ILLNESS IN BONE TRAUMA PATIENTS: AN AI-BASED APPROACH FOR INTENSIVE CARE UNIT HEALTHCARE PROVIDERS. Shock 2025;64(1):27 View
  9. Chen B, Yang Y, Zhou H, Li F, Shen Y, Cheng Q, Huang W, Qin L. Machine Learning Strategies for Preoperative PJI Diagnosis: Integrative Analysis of Serum and Synovial Fluid Markers. Journal of Inflammation Research 2025;Volume 18:10253 View
  10. Tanzim U, Khan I, Abikenari M, Al-Deen R, Miah L, Blaaza M, Aziz M, Mukadam Y, Kerwan A. Transforming Patient–Provider Communication: The Role of Artificial Intelligence in Advancing Health Literacy—A Comprehensive Review. Premier Journal of Science 2025 View

Books/Policy Documents

  1. Verma P, Sehgal S. AI and Emotional Intelligence for Modern Business Management. View
  2. Asrifan A, Sadaruddin S, Ashar A, Nonci J, Setiawan T, Erniati E. Integrating Micro-Credentials With AI in Open Education. View
  3. Mucić D, Hilty D, Yellowlees P. Digital Mental Health. View
  4. Eappen P, Philip F, Vajjhala N, Gunn V. Digital Transformation in Interdisciplinary Sciences. View