Multidimensional Heterogeneous Medical Data Push in Intelligent Cloud Collaborative Management System

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.

Intelligent System for Training and Assessment of Basketball Referee in Sports Event Using Intelligent Sensor

“…In recent years, with the wide application of intelligent sensors, various industries have achieved remarkable results by using the superior performance of sensors [8]. The advantage of the intelligent sensor is that it can capture information, data, and images and transmit them in real time and is less affected by external factors [9]. Therefore, this paper proposes an intelligent simulation system for basketball referee training and assessment in sports events based on intelligent sensors.…”