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Medical Big Data and Postoperative Nursing of Fracture Patients Based on Cloud Computing
Based on the standards for wireless sensor system identification, the sensor node identity OID identification and the management object OID identification in the SNMP MIB are merged, and a management object OID identification coding mechanism for the SNMP-based wireless sensor system is proposed to...
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/PMC9293519/ https://www.ncbi.nlm.nih.gov/pubmed/35860795 http://dx.doi.org/10.1155/2022/4090235 |
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author | Yan, Li Chen, Yufei Caixia, Gao Jiangying, Wu Xiaoying, Li Zhe, Li |
author_facet | Yan, Li Chen, Yufei Caixia, Gao Jiangying, Wu Xiaoying, Li Zhe, Li |
author_sort | Yan, Li |
collection | PubMed |
description | Based on the standards for wireless sensor system identification, the sensor node identity OID identification and the management object OID identification in the SNMP MIB are merged, and a management object OID identification coding mechanism for the SNMP-based wireless sensor system is proposed to make the node management system only. The identity, attributes, and multiple entities of the target sensor node in the wireless sensor network can be identified and managed by the node management object OID. The source of abnormal medical big data generally uses two models of multidimensional data and sliding window for detection and verification. First, the sliding window can be used to detect abnormalities. The result is that under this condition, the detection rate of medical big data is more than 95%; the effect is very good, but in different dimensions, the detection rate of four-dimensional data is 2.9% higher than that of a single-dimensional one. On the basis of the ZigBee wireless network, the terminal signal transmission of fracture treatment can be realized. On this basis, combined with the actual needs of fracture treatment, it can be built with its wireless module. The wireless network has a certain basic function. The reform of the nursing system was carried out on the basis of the safety and reliability of the nursing system, the efficiency of the nursing system was improved, and timely and safe nursing services were achieved. |
format | Online Article Text |
id | pubmed-9293519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92935192022-07-19 Medical Big Data and Postoperative Nursing of Fracture Patients Based on Cloud Computing Yan, Li Chen, Yufei Caixia, Gao Jiangying, Wu Xiaoying, Li Zhe, Li Biomed Res Int Research Article Based on the standards for wireless sensor system identification, the sensor node identity OID identification and the management object OID identification in the SNMP MIB are merged, and a management object OID identification coding mechanism for the SNMP-based wireless sensor system is proposed to make the node management system only. The identity, attributes, and multiple entities of the target sensor node in the wireless sensor network can be identified and managed by the node management object OID. The source of abnormal medical big data generally uses two models of multidimensional data and sliding window for detection and verification. First, the sliding window can be used to detect abnormalities. The result is that under this condition, the detection rate of medical big data is more than 95%; the effect is very good, but in different dimensions, the detection rate of four-dimensional data is 2.9% higher than that of a single-dimensional one. On the basis of the ZigBee wireless network, the terminal signal transmission of fracture treatment can be realized. On this basis, combined with the actual needs of fracture treatment, it can be built with its wireless module. The wireless network has a certain basic function. The reform of the nursing system was carried out on the basis of the safety and reliability of the nursing system, the efficiency of the nursing system was improved, and timely and safe nursing services were achieved. Hindawi 2022-07-11 /pmc/articles/PMC9293519/ /pubmed/35860795 http://dx.doi.org/10.1155/2022/4090235 Text en Copyright © 2022 Li Yan 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 Yan, Li Chen, Yufei Caixia, Gao Jiangying, Wu Xiaoying, Li Zhe, Li Medical Big Data and Postoperative Nursing of Fracture Patients Based on Cloud Computing |
title | Medical Big Data and Postoperative Nursing of Fracture Patients Based on Cloud Computing |
title_full | Medical Big Data and Postoperative Nursing of Fracture Patients Based on Cloud Computing |
title_fullStr | Medical Big Data and Postoperative Nursing of Fracture Patients Based on Cloud Computing |
title_full_unstemmed | Medical Big Data and Postoperative Nursing of Fracture Patients Based on Cloud Computing |
title_short | Medical Big Data and Postoperative Nursing of Fracture Patients Based on Cloud Computing |
title_sort | medical big data and postoperative nursing of fracture patients based on cloud computing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293519/ https://www.ncbi.nlm.nih.gov/pubmed/35860795 http://dx.doi.org/10.1155/2022/4090235 |
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