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Application of Artificial Intelligence in Emergency Nursing of Patients with Chronic Obstructive Pulmonary Disease
The research achievements of artificial intelligence technology in the development of chronic obstructive pulmonary disease were explored, and the advantages and problems encountered in the development of intelligent nursing were analyzed. This paper presents the application of artificial intelligen...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635944/ https://www.ncbi.nlm.nih.gov/pubmed/34908913 http://dx.doi.org/10.1155/2021/6423398 |
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author | Hong, Lingzhi Cheng, Xufang Zheng, Deming |
author_facet | Hong, Lingzhi Cheng, Xufang Zheng, Deming |
author_sort | Hong, Lingzhi |
collection | PubMed |
description | The research achievements of artificial intelligence technology in the development of chronic obstructive pulmonary disease were explored, and the advantages and problems encountered in the development of intelligent nursing were analyzed. This paper presents the application of artificial intelligence in the emergency care of patients with chronic obstructive pulmonary disease. The method included 447 COPD patients in a randomized controlled trial to observe the improvement of quality of life at 4 and 12 months after artificial intelligence medical intervention. A prospective randomized controlled trial included 101 patients with COPD who underwent a 9-month web-based knowledge exercise on the prevention of acute exacerbation of COPD through artificial intelligence medicine and were randomly divided into two groups: the experimental group and the control group. The results show that, in the experimental group and the control group, after 4 months, the quality of life does not change; after 12 months, compared with controls, the quality of life and emotional and psychological conditions have improved obviously. 29 patients who participated in the experiment and were randomly divided into the experimental group and the control group showed satisfactory results. COPD hospitalized rate and length of hospital stay were decreased in the experimental group than in the control group. For single-factor analysis, artificial intelligence medical intervention has not achieved significant significance, and the experimental results have preliminarily confirmed the effectiveness of artificial intelligence medical treatment. |
format | Online Article Text |
id | pubmed-8635944 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-86359442021-12-13 Application of Artificial Intelligence in Emergency Nursing of Patients with Chronic Obstructive Pulmonary Disease Hong, Lingzhi Cheng, Xufang Zheng, Deming Contrast Media Mol Imaging Research Article The research achievements of artificial intelligence technology in the development of chronic obstructive pulmonary disease were explored, and the advantages and problems encountered in the development of intelligent nursing were analyzed. This paper presents the application of artificial intelligence in the emergency care of patients with chronic obstructive pulmonary disease. The method included 447 COPD patients in a randomized controlled trial to observe the improvement of quality of life at 4 and 12 months after artificial intelligence medical intervention. A prospective randomized controlled trial included 101 patients with COPD who underwent a 9-month web-based knowledge exercise on the prevention of acute exacerbation of COPD through artificial intelligence medicine and were randomly divided into two groups: the experimental group and the control group. The results show that, in the experimental group and the control group, after 4 months, the quality of life does not change; after 12 months, compared with controls, the quality of life and emotional and psychological conditions have improved obviously. 29 patients who participated in the experiment and were randomly divided into the experimental group and the control group showed satisfactory results. COPD hospitalized rate and length of hospital stay were decreased in the experimental group than in the control group. For single-factor analysis, artificial intelligence medical intervention has not achieved significant significance, and the experimental results have preliminarily confirmed the effectiveness of artificial intelligence medical treatment. Hindawi 2021-11-24 /pmc/articles/PMC8635944/ /pubmed/34908913 http://dx.doi.org/10.1155/2021/6423398 Text en Copyright © 2021 Lingzhi Hong 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 Hong, Lingzhi Cheng, Xufang Zheng, Deming Application of Artificial Intelligence in Emergency Nursing of Patients with Chronic Obstructive Pulmonary Disease |
title | Application of Artificial Intelligence in Emergency Nursing of Patients with Chronic Obstructive Pulmonary Disease |
title_full | Application of Artificial Intelligence in Emergency Nursing of Patients with Chronic Obstructive Pulmonary Disease |
title_fullStr | Application of Artificial Intelligence in Emergency Nursing of Patients with Chronic Obstructive Pulmonary Disease |
title_full_unstemmed | Application of Artificial Intelligence in Emergency Nursing of Patients with Chronic Obstructive Pulmonary Disease |
title_short | Application of Artificial Intelligence in Emergency Nursing of Patients with Chronic Obstructive Pulmonary Disease |
title_sort | application of artificial intelligence in emergency nursing of patients with chronic obstructive pulmonary disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635944/ https://www.ncbi.nlm.nih.gov/pubmed/34908913 http://dx.doi.org/10.1155/2021/6423398 |
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