Design of Intelligent Monitoring and Analyzing Framework for Elderly Health Management

Yuan Shu (), Jipeng Zhang and Lu Wang
Additional contact information
Yuan Shu: Nanchang University, Industrial Design, Architecture & Design College
Jipeng Zhang: Nanchang University, Industrial Design, Architecture & Design College
Lu Wang: Nanchang University, Industrial Design, Architecture & Design College

A chapter in Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024), 2025, pp 701-715 from Springer

Abstract: Abstract Intelligent senior services have emerged as a key avenue to address the health management and quality of life enhancement of the elderly, as the global aging issue has made it more difficult for traditional elderly services to meet the health and social needs of the elderly. In this study, an intelligent monitoring and analysis framework is designed, focusing on the design and application of the health monitoring module and the artificial intelligence analysis module. The experimental results show that the framework is able to predict the risk of diseases, verifying its potential in the field of intelligent aging. The study also discusses the potential challenges in the design of the framework and proposes corresponding optimization strategies, which provide solutions with practical value for the intelligent transformation of the elderly service industry. The study also discusses the potential challenges in the design of the framework and proposes corresponding optimization strategies, which provide solutions with practical value for the intelligent transformation of the elderly service industry.

Keywords: Intelligent Elderly; Health Management; Health Monitoring; Artificial Intelligence Analysis; Disease Risk Prediction (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-676-5_68

Ordering information: This item can be ordered from
http://www.springer.com/9789464636765

DOI: 10.2991/978-94-6463-676-5_68

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().