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Network Information Security Platform Based on Artificial Intelligence for the Elderly's Health “Integration of Physical, Medical, and Nursing Care”
With the development of my country's economy and society and the improvement of civilization, the silver wave has gradually come. The country has launched a multifaceted pension model, such as institutional pension, home-based pension, and pension real estate. With the increasing aging of the p...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166944/ https://www.ncbi.nlm.nih.gov/pubmed/35669370 http://dx.doi.org/10.1155/2022/5975054 |
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author | Yang, Zongyou Xia, Siyong Feng, Sheng |
author_facet | Yang, Zongyou Xia, Siyong Feng, Sheng |
author_sort | Yang, Zongyou |
collection | PubMed |
description | With the development of my country's economy and society and the improvement of civilization, the silver wave has gradually come. The country has launched a multifaceted pension model, such as institutional pension, home-based pension, and pension real estate. With the increasing aging of the population, traditional elderly care services can no longer meet the growing needs of the elderly. This research mainly discusses the construction of a network information security platform based on artificial intelligence for the elderly's health “integration of physical, medical, and nursing care.” The platform consists of five modules: health records, follow-up plans, remote training, health education, and remote consultation. Each module is equipped with a corresponding main interface and/or subinterface. Some modules also have submodules as needed. The structure is reasonable, and the interface is displayed. The combined medical care service model is divided into medical care, care care, and medical care. Among them, the medical care model mainly provides long-term comprehensive care services for the disabled, demented, semidisabled, and other elderly groups. The support-oriented model is mainly for self-care or semi-self-care elderly groups, providing rehabilitation monitoring and life care services. In terms of the overall effect of the platform, 13 users (81.25%) gave a high evaluation of the overall effect of the platform. This research will promote the development of the smart elderly care industry. |
format | Online Article Text |
id | pubmed-9166944 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-91669442022-06-05 Network Information Security Platform Based on Artificial Intelligence for the Elderly's Health “Integration of Physical, Medical, and Nursing Care” Yang, Zongyou Xia, Siyong Feng, Sheng Comput Math Methods Med Research Article With the development of my country's economy and society and the improvement of civilization, the silver wave has gradually come. The country has launched a multifaceted pension model, such as institutional pension, home-based pension, and pension real estate. With the increasing aging of the population, traditional elderly care services can no longer meet the growing needs of the elderly. This research mainly discusses the construction of a network information security platform based on artificial intelligence for the elderly's health “integration of physical, medical, and nursing care.” The platform consists of five modules: health records, follow-up plans, remote training, health education, and remote consultation. Each module is equipped with a corresponding main interface and/or subinterface. Some modules also have submodules as needed. The structure is reasonable, and the interface is displayed. The combined medical care service model is divided into medical care, care care, and medical care. Among them, the medical care model mainly provides long-term comprehensive care services for the disabled, demented, semidisabled, and other elderly groups. The support-oriented model is mainly for self-care or semi-self-care elderly groups, providing rehabilitation monitoring and life care services. In terms of the overall effect of the platform, 13 users (81.25%) gave a high evaluation of the overall effect of the platform. This research will promote the development of the smart elderly care industry. Hindawi 2022-05-27 /pmc/articles/PMC9166944/ /pubmed/35669370 http://dx.doi.org/10.1155/2022/5975054 Text en Copyright © 2022 Zongyou Yang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Yang, Zongyou Xia, Siyong Feng, Sheng Network Information Security Platform Based on Artificial Intelligence for the Elderly's Health “Integration of Physical, Medical, and Nursing Care” |
title | Network Information Security Platform Based on Artificial Intelligence for the Elderly's Health “Integration of Physical, Medical, and Nursing Care” |
title_full | Network Information Security Platform Based on Artificial Intelligence for the Elderly's Health “Integration of Physical, Medical, and Nursing Care” |
title_fullStr | Network Information Security Platform Based on Artificial Intelligence for the Elderly's Health “Integration of Physical, Medical, and Nursing Care” |
title_full_unstemmed | Network Information Security Platform Based on Artificial Intelligence for the Elderly's Health “Integration of Physical, Medical, and Nursing Care” |
title_short | Network Information Security Platform Based on Artificial Intelligence for the Elderly's Health “Integration of Physical, Medical, and Nursing Care” |
title_sort | network information security platform based on artificial intelligence for the elderly's health “integration of physical, medical, and nursing care” |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166944/ https://www.ncbi.nlm.nih.gov/pubmed/35669370 http://dx.doi.org/10.1155/2022/5975054 |
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