Research on The Sustainable Development Matrix of Home-Based Elderly Care Services in Free Trade Ports from The Perspective of Artificial Intelligence
- DOI
- 10.2991/978-94-6463-108-1_14How to use a DOI?
- Keywords
- home care services; sustainable development; artificial intelligence perspective; matrix
- Abstract
With the development of the economy and the improvement of living standards, the new model of home-based elderly care services has gradually been developed and achieved certain results, but there are many difficulties in the process of exploration. Although the government departments have provided many preferential policies, there are still problems such as small number of service groups, scattered service objects and high operating costs. In order to achieve sustainable development of home-based elderly care services, further problems need to be solved. In response to this problem, this study combines the perspective of artificial intelligence and uses information technology to establish a sustainable development matrix of home-based elderly care services to realize intelligent home-based elderly care services in free trade ports.
- Copyright
- © 2022 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 - Huan Zhou AU - Guoqiang Zeng AU - Ziyi Ren AU - Xuemin Han AU - Jianrong Tang PY - 2022 DA - 2022/12/30 TI - Research on The Sustainable Development Matrix of Home-Based Elderly Care Services in Free Trade Ports from The Perspective of Artificial Intelligence BT - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022) PB - Atlantis Press SP - 114 EP - 120 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-108-1_14 DO - 10.2991/978-94-6463-108-1_14 ID - Zhou2022 ER -