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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Crowd Profile: Research and Review on Diabetes Mellitus Health Management

Li Weng, Zhongyan Lin
Journal of medicine and health science.
Mobile Health and mHealth Applications
article

Crowd Profile: Research and Review on Diabetes Mellitus Health Management

Li Weng, Zhongyan Lin
article en

Abstract

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.

Journal of medicine and health science.Vol. 2(4)
Minjiang University (CN)
Fujian Provincial Health Commission
Openalex Percentile: Top 51%
Mobile Health and mHealth Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.