Multidimensional Heterogeneous Medical Data Push in Intelligent Cloud Collaborative Management System

Gang Liu and Xiaofeng Li

Complexity, 2020, vol. 2020, 1-14

Abstract:

The medical data in the intelligent cloud collaborative management system have multidimensional heterogeneous interference, and there are problems such as low data information update rate and poor push results in the push process. Therefore, a method for multidimensional heterogeneous medical data push was proposed. First of all, the logical architecture of the multidimensional heterogeneous data push system was determined, and the data push function was designed; secondly, redundant data removal and noise reduction preprocessing were conducted against the push data, correlation rules were used to integrate multidimensional heterogeneous medical data, the weight of medical data was calculated, the heterogeneous data matrix was constructed, and the integrated medical data were weighted to eliminate multidimensional heterogeneous interference. The results show that the data update rate of the proposed method is faster, the user retention and communication rate are high, the data push precision rate is over 80%, and the recall rate is as high as 76%. Therefore, its performance is significantly better than traditional methods.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/8503/2020/7574609.pdf (application/pdf)
http://downloads.hindawi.com/journals/8503/2020/7574609.xml (text/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:7574609

DOI: 10.1155/2020/7574609

Access Statistics for this article

More articles in Complexity from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().