Application study of an artificial intelligence and big data-based personalized chronic disease management model for diabetes patients

The AI and big data-driven personalized management model significantly improved glycemic control, self-care behaviors, and quality of life in T2DM patients over conventional care within 6 months. Success within the model is influenced by behavioral and biological factors, alongside alcohol consumption. This approach demonstrates promise for enhancing diabetes care.

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Publication Details

Journal
Frontiers in Public Health
Published
2026-01-29
DOI
https://doi.org/10.3389/fpubh.2026.1735295
Primary Topic
Diabetes Management and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Application study of an artificial intelligence and big data-based personalized chronic disease management model for diabetes patients

Ping Huang, Qiuxia Li, Mei Xin, Yanbing Yao
Frontiers in Public Health
Diabetes Management and Education
article

Application study of an artificial intelligence and big data-based personalized chronic disease management model for diabetes patients

Ping Huang, Qiuxia Li, Mei Xin, Yanbing Yao
article en

Abstract

The AI and big data-driven personalized management model significantly improved glycemic control, self-care behaviors, and quality of life in T2DM patients over conventional care within 6 months. Success within the model is influenced by behavioral and biological factors, alongside alcohol consumption. This approach demonstrates promise for enhancing diabetes care.

Frontiers in Public HealthVol. 14
First Affiliated Hospital of GuangXi Medical University (CN)
Openalex Percentile: Top 77%
Diabetes Management and Education
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