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

Formative Evaluation of Digital Health Interventions (2415) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1400) Apps, Mobile, Wearables for Diabetes (298) Diabetes Self-Management (484) mHealth for Wellness, Behavior Change and Prevention (2873) User-centred Design Case Studies (596) Ethics, Privacy, and Legal Issues (479)

Published on in Vol 5, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24738, first published .
Using a Personal Health Library–Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data

Using a Personal Health Library–Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data

Using a Personal Health Library–Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data

Authors of this article:

Nariman Ammar1 Author Orcid Image ;   James E Bailey2 Author Orcid Image ;   Robert L Davis1 Author Orcid Image ;   Arash Shaban-Nejad1 Author Orcid Image
Article Authors Cited by (24) Tweetations (13) Metrics

Journals

  1. Olusanya O, Ammar N, Davis R, Bednarczyk R, Shaban-Nejad A. A Digital Personal Health Library for Enabling Precision Health Promotion to Prevent Human Papilloma Virus-Associated Cancers. Frontiers in Digital Health 2021;3 View
  2. Santos R, Aguilar J. A hybrid recommender system based on description/dialetheic logic and linked data. Expert Systems 2023;40(2) View
  3. 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
  4. Killion K, Sasangohar F. mHealth for Diabetes Self-Management in Underserved Populations: A Scoping Review. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2022;66(1):1418 View
  5. Zhang H, Lyu T, Yin P, Bost S, He X, Guo Y, Prosperi M, Hogan W, Bian J. A scoping review of semantic integration of health data and information. International Journal of Medical Informatics 2022;165:104834 View
  6. Brakefield W, Olusanya O, Shaban-Nejad A. Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach. JMIR Public Health and Surveillance 2022;8(8):e37039 View
  7. Brakefield W, Ammar N, Shaban-Nejad A. An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model. JMIR Formative Research 2022;6(7):e36055 View
  8. Schwartz D, Stewart A, Harris L, Ozdenerol E, Thomas F, Johnson K, Davis R, Shaban-Nejad A. The Memphis Pandemic Health Informatics System (MEMPHI-SYS)—Creating a Metropolitan COVID-19 Data Registry Linked Directly to Community Testing to Enhance Population Health Surveillance. Disaster Medicine and Public Health Preparedness 2023;17 View
  9. Kumsa F, Prasad R, Shaban-Nejad A. Medication abortion via digital health in the United States: a systematic scoping review. npj Digital Medicine 2023;6(1) View
  10. Rivera-Romero O, Gabarron E, Ropero J, Denecke K. Designing personalised mHealth solutions: An overview. Journal of Biomedical Informatics 2023;146:104500 View
  11. 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
  12. Chakraborty P, Sanyal D. A comprehensive survey of personal knowledge graphs. WIREs Data Mining and Knowledge Discovery 2023;13(6) View
  13. Wang J, Zhang A. A Study on Multi-level Topologizable Optimization Decision Analysis of Online Digital Library Resources. Applied Mathematics and Nonlinear Sciences 2024;9(1) View
  14. Carbonaro A, Marfoglia A, Nardini F, Mellone S. CONNECTED: leveraging digital twins and personal knowledge graphs in healthcare digitalization. Frontiers in Digital Health 2023;5 View
  15. 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
  16. Skjæveland M, Balog K, Bernard N, Łajewska W, Linjordet T. An ecosystem for personal knowledge graphs: A survey and research roadmap. AI Open 2024;5:55 View
  17. Peng Y, Duan J, Hou J, Xu N, Wu J, Bao X, Yao Q, Li Y. Knowledge, attitudes and practices among medical workers toward outpatient diabetes information platform. BMC Health Services Research 2024;24(1) View
  18. Costa T, Borges-Tiago T, Martins F, Tiago F. System interoperability and data linkage in the era of health information management: A bibliometric analysis. Health Information Management Journal 2024 View

Books/Policy Documents

  1. Shaban-Nejad A, Michalowski M, Bianco S. AI for Disease Surveillance and Pandemic Intelligence. View
  2. Shaban-Nejad A, Michalowski M, Bianco S. Multimodal AI in Healthcare. View
  3. Shaban-Nejad A, Michalowski M, Bianco S. Artificial Intelligence for Personalized Medicine. View