Crowd Profile: Research and Review on Diabetes Mellitus Health Management
Diabetes Mellitus is a paradigmatic case of long-term care, being one of the most prevalent chronic diseases worldwide, with millions of patients with no cure. Health management is pivotal in addressing diabetes; however, the lack of personalized and tailored diabetes intervention and self-care management strategies has prevented patients from maximizing health outcomes. The crowd profile technique, an effective tool for user analysis, combines artificial intelligence and big data analytics to provide diabetes risk prediction, personalized health management, and digital consultation services for patients with diabetes. This study reviews the current research on the application of the crowd profile in diabetes health management, highlighting the potential benefits and challenges associated with crowd profile in diabetes management. The findings underscore the critical need for integrating crowd profile into healthcare systems to enhance the quality and effectiveness of diabetes health management.
Authors
- Li Weng (ORCID: https://orcid.org/0000-0003-0403-0752)
- Zhongyan Lin
Institutions
- Minjiang University (CN)
Publication Details
- Journal
- Journal of medicine and health science.
- Published
- 2024-12-01
- DOI
- https://doi.org/10.62517/jmhs.202405416
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fujian Provincial Health Commission