Published on in Vol 6, No 4 (2022): April
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/35069, first published
.
Journals
- Hendawi R, Li J, Roy S. A Mobile App That Addresses Interpretability Challenges in Machine Learning–Based Diabetes Predictions: Survey-Based User Study. JMIR Formative Research 2023;7:e50328 View
- Dijkman E, ter Brake W, Drossaert C, Doggen C. Assessment Tools for Measuring Health Literacy and Digital Health Literacy in a Hospital Setting: A Scoping Review. Healthcare 2023;12(1):11 View
- Hasan W, Zaman K, Alian S, Liang T, Pandey V, Kong J, Tao C, Li J. Bridging Culture and Care: A Mobile App for Diabetes Self-Care Honoring Native American Cultural Practices. Advances in Science, Technology and Engineering Systems Journal 2024;9(1):104 View
Books/Policy Documents
- Miranda J. Transformative Approaches to Patient Literacy and Healthcare Innovation. View
Conference Proceedings
- Roy S, Li J, Pandey V, Bai Y. 2022 10th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud). An Explainable Deep Neural Framework for Trustworthy Network Intrusion Detection View
- Ul Hasan W, Li J, Alian S, Liang T, Pandey V, Zaman K, Kong J, Tao C. 2023 IEEE Symposium on Computers and Communications (ISCC). Honoring Heritage, Managing Health: A Mobile Diabetes Self-Management App for Native Americans with Cultural Sensitivity and Local Factors View
- Wang X, Ul Hasan W, Li J, Hendawi R, Du Y, Xie B, Tao C. 2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys). Empowering Personalized Health Data Queries with Knowledge Graph and GPT-Enhanced Voice Assistant View
- Hendawi R, Alian S, Li J. 2024 15th International Conference on Information and Communication Systems (ICICS). Breaking Down Barriers: Empowering Diabetes Patients with User-Friendly Medical Explanations View