Design of Intelligent Monitoring and Analyzing Framework for Elderly Health Management
- DOI
- 10.2991/978-94-6463-676-5_68How to use a DOI?
- Keywords
- Intelligent Elderly; Health Management; Health Monitoring; Artificial Intelligence Analysis; Disease Risk Prediction
- 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.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yuan Shu AU - Jipeng Zhang AU - Lu Wang PY - 2025 DA - 2025/04/15 TI - Design of Intelligent Monitoring and Analyzing Framework for Elderly Health Management BT - Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024) PB - Atlantis Press SP - 701 EP - 715 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-676-5_68 DO - 10.2991/978-94-6463-676-5_68 ID - Shu2025 ER -