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...

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Published in:BioMed Research International pp. 1 - 11
Main Authors: Yan, Li, Chen, Yufei, Caixia, Gao, Jiangying, Wu, Xiaoying, Li, Zhe, Li
Format: equations & formulas pictorial research tables/charts Journal Article
Published: Wiley-Blackwell 7/11/2022
Online Access:View this record in EBSCOhost
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      dt: 7/11/2022
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2022/4090235
        157911558
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        atl: Medical Big Data and Postoperative Nursing of Fracture Patients Based on Cloud Computing.
      aug:
        au:
          Yan, Li
          Chen, Yufei
          Caixia, Gao
          Jiangying, Wu
          Xiaoying, Li
          Zhe, Li
        affil: China Medical University, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning 110032, China
      sug:
        subj:
          Data Analytics
          Research, Medical
          Perioperative Nursing
          Fractures Therapy
          Cloud Computing
          Human
          Nursing Service
          Wireless Communications
          Descriptive Statistics
          Health Care Reform
          Patient Safety
          Nursing Care
      ab: 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.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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