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.

Highlights

  • Multidimensional medical data refer to medical data with a multidimensional structure defined by dimensions and measures, which is the main object of data online analysis

  • E main contributions of this study are as follows. (1) e multidimensional heterogeneous medical data push technology is applied to intelligent cloud collaborative management system for analysis; (2) the logical architecture of the multidimensional heterogeneous data push system is determined, which lays the foundation for subsequent research; (3) weighted analysis is made on multidimensional heterogeneous medical data to eliminate multidimensional heterogeneous interference, which provides a basis for improving the efficiency of medical data push; (4) the push channel is selected, which greatly improving the effect of data push

  • In order to verify the application function of the multidimensional heterogeneous medical data push technology in the intelligent cloud collaborative management system, this study sets up an application analysis experiment. e medical data set is selected as follows: (1) MIMIC Critical Care Database: the public data set from MIT lab for computational physiology collects

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Summary

Introduction

Multidimensional medical data refer to medical data with a multidimensional structure defined by dimensions and measures, which is the main object of data online analysis. Cloud computing technology shows obvious advantages and rapid development To this end, an intelligent cloud collaborative management system with collaborative processing function has been developed for the purpose of coordinating and managing multidimensional heterogeneous medical data, and integrating medical information, and effectively enhancing the application effectiveness of medical data [3, 4]. Erefore, it is necessary to introduce data push technology to improve the updated function of the system In this system optimization, multidimensional heterogeneous medical data push technology is applied. Rough the application of multidimensional heterogeneous medical data push technology, the function of data push can be realized, thereby solving the problems of long query time and system information data cannot be updated in time in the traditional system and improving the query ability and update speed of the system. E main contributions of this study are as follows. (1) e multidimensional heterogeneous medical data push technology is applied to intelligent cloud collaborative management system for analysis; (2) the logical architecture of the multidimensional heterogeneous data push system is determined, which lays the foundation for subsequent research; (3) weighted analysis is made on multidimensional heterogeneous medical data to eliminate multidimensional heterogeneous interference, which provides a basis for improving the efficiency of medical data push; (4) the push channel is selected, which greatly improving the effect of data push

Related Work
Experimental Analysis and Results
Results and Discussion
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