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Smart medical call query system based on dynamic Skyline query mobile cloud computing environment

A computing environment and intelligent medical technology, applied in the field of Spark, can solve problems such as inapplicable medical big data, achieve the effect of improving extraction and multi-factor analysis methods, improving efficiency, and reducing data volume

Inactive Publication Date: 2017-08-15
DALIAN UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional medical data processing is oriented to the extraction and analysis of small-scale, static, and routine informational data. These methods are no longer applicable to the explosive growth of medical big data with obvious space, high dimensions, and multiple complex factors. , based on this starting point, we designed and implemented the invention

Method used

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  • Smart medical call query system based on dynamic Skyline query mobile cloud computing environment
  • Smart medical call query system based on dynamic Skyline query mobile cloud computing environment
  • Smart medical call query system based on dynamic Skyline query mobile cloud computing environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0013] Embodiment 1: A dynamic spatial Skyline query method under a mobile cloud computing environment, including a cloud center service system and an intelligent mobile client system, wherein the cloud center service system provides a spatial grid pruning strategy and continuous network medical data monitoring to execute the dynamic Skyline With the anti-Skyline algorithm, the intelligent mobile client needs the degree of attributes, and enters the threshold value of each attribute and sends the query results to improve the attributes of the hospital. That is, the system performs the following steps:

[0014] S1. The cloud center service system uses distributed dynamic Skyline and anti-Skyline algorithms to provide spatial grid pruning strategies to screen large-scale medical institution data.

[0015] S2. The smart mobile client first locates the terminal device through GPS, determines the space and individual needs of the query user, then runs the medical call program, comm...

Embodiment 2

[0025] Embodiment 2: have the technical scheme identical with embodiment 1. Using the distributed algorithm, the collection, monitoring, management and control of the hospital's address, patient user habits, demand and comment data and user information are integrated, and the combination and integration are effectively realized. In a large hospital, a series of huge databases of the hospital are presented to the dynamic Skyline and anti-Skyline algorithm, and the relevant information parameters of the hospital data are detected through this algorithm, so that users can get the required information more quickly. If it is a small and medium-sized town For medical treatment, these data can be collected as a mobile terminal and transmitted to medium and large hospitals in the form of batch data flow. If it is a small clinic in the community, it can be transmitted to the data center of medium and large hospitals in the form of real-time data flow. Finally, all data should be It is ...

Embodiment 3

[0026] Embodiment 3: have the technical scheme identical with embodiment 2. For current hospital users, they may need a faster way to get the hospital information corresponding to their needs. Therefore, we can connect to the background cloud service center through front-line mobile devices, and use the hospital data center display system as a platform to emphasize the cooperation and coordination of intelligent system design and hospital information methods, such as intelligent parameters of various medical models, hospitals can be used remotely The equipment management system (BAS), large-scale emergency medical alarm system (BFAS), etc., collect the actual situation of the hospital itself, and finally integrate multi-layer technologies in the specific application of this patent, through the multi-factor needs of users To carry out spatial Skyline filtering query and continuous decision-making, so as to better meet the needs of users. When a user selects the best hospital lo...

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Abstract

The invention discloses a smart medical call query system based on dynamic Skyline query in a mobile cloud computing environment and belongs to the field of smart medical and space big data processing. A distributed dynamic Skyline algorithm based on Spark is employed; after users send data requests to a cloud center service system through a mobile smart client, the cloud center service system collects individual multi-factors requests of the users, then extracts data from a big data set of an existing medical mechanism, filters and sorts the data according to space positioning and selected multiple attributes of the users, thereby obtaining an ordered medical space result data set, then scans and compares dominance relations of data points to obtain dynamic Skyline and inverse Skyline results, and returns the results to corresponding terminals. In a medical multi-dimensional big data query process, medical space big data control is carried out through space grid pruning and continuous network medical data monitoring, so the corresponding medical mechanism data required by the users can be obtained rapidly.

Description

technical field [0001] The invention belongs to the technical field of Spark, and is an intelligent medical call query system based on dynamic Skyline query under the mobile Internet and cloud computing environment, which involves spatial grid pruning strategies and network medical data monitoring. Background technique [0002] With the innovation of modern technology, most of the intelligent equipment and systems are gradually known to people. From smart medical call inquiry communication system, smart home, smart transportation, smart grid, smart building. Smart medical care and smart logistics, etc. By 2009, IBM proposed the concept of "smart earth". Smart technology is changing our lives. At the same time, it also enriches our world. The intelligent medical call inquiry communication system collects, monitors, manages and controls the equipment, environment and user information in the medical units related to the existing large hospitals, small and medium-sized hospital...

Claims

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Application Information

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IPC IPC(8): H04L29/08G06F17/30G06F19/00
Inventor 季长清张敏罗宇李媛媛
Owner DALIAN UNIVERSITY
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