A capsule network-based public health prediction system for chronic diseases: clinical and community implications

The public health chronic disease prediction method based on information systems and capsule network has high clinical value in diagnosis and can help physicians accurately diagnose patients' conditions. In addition, this method has high application value in public health management. Management departments can adjust management strategies in a timely manner through predictive analysis results and propose targeted management measures based on the characteristics of residents in the management community.

Authors

Publication Details

Journal
Frontiers in Public Health
Published
2025-03-14
DOI
https://doi.org/10.3389/fpubh.2025.1526360
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

A capsule network-based public health prediction system for chronic diseases: clinical and community implications

Haiyan Xie
Frontiers in Public Health
Artificial Intelligence in Healthcare
article

A capsule network-based public health prediction system for chronic diseases: clinical and community implications

Haiyan Xie
article en

Abstract

The public health chronic disease prediction method based on information systems and capsule network has high clinical value in diagnosis and can help physicians accurately diagnose patients' conditions. In addition, this method has high application value in public health management. Management departments can adjust management strategies in a timely manner through predictive analysis results and propose targeted management measures based on the characteristics of residents in the management community.

Frontiers in Public HealthVol. 13
Openalex Percentile: Top 95%
Artificial Intelligence in Healthcare
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A capsule network-based public health prediction system for chronic diseases: clinical and community implications — Haiyan Xie · Frontiers in Public Health (2025) | TGRS Research Map | TGRS