Analysis and Visualization Implementation of Medical Big Data Resource Sharing Mechanism Based on Deep Learning

Ying Yang,Tao Chen

doi:10.1109/access.2019.2949879

Ying Yang, Tao Chen

Open Access

https://doi.org/10.1109/access.2019.2949879

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Abstract

With the development of information technology, the informationization of the medical industry is also constantly developing rapidly, and medical data is growing exponentially. In the context of “Big Data +”, people began to study the application of data visualization to medical data. Data visualization can make full use of the human sensory vision system to guide users through data analysis and present information hidden behind the data in an intuitive and easy-to-use manner. This paper first introduces the workflow of DBN, a deep learning algorithm, and summarizes the computational characteristics of the algorithm. The classification function is translated into an assembler using an instruction set-based assembly language, and the program is evaluated for performance. Secondly, based on the Hadoop ecosystem, this paper analyzes the BDMISS system for big data medical information resource sharing. Based on the system's requirements and functional positioning, from the medical information collection and sharing, data mining and knowledge management level, the big data medical service system is constructed. Based on the semantic network and ontology theory, big data mining technology and the design of “medical cloud”, the resource sharing mechanism is analyzed. Based on the Spring MVC framework, using Echarts, HCharts and other data visualization technology, according to the design of specific modules, the visualization and display of medical data is realized, which has certain promotion effect on the research and development of medical big data visualization analysis.

Highlights

As the informationization of the medical industry continues to develop rapidly, medical data has grown exponentially, and medical big data has brought tremendous pressure on existing hospital information systems
With the emergence of various unstructured data, traditional medical information systems cannot meet the requirements of big data in terms of storage space, storage speed, storage structure, etc., some data is lost, resulting in loss of valuable medical data [1]–[3]
Medical informatization is no longer limited to transactional tasks such as hospital information management systems [5], [6]

Summary

INTRODUCTION

As the informationization of the medical industry continues to develop rapidly, medical data has grown exponentially, and medical big data has brought tremendous pressure on existing hospital information systems. Based on the Hadoop ecosystem, a big data information sharing service system for regional medical informatization-BDMISS system is proposed It discusses the system requirements, clarifies the positioning and functional subjects of the system, and clarifies the regional collaborative network and basic operational mechanism of the system. Based on the Spring MVC framework, the research uses Echarts, HCharts and other data visualization technology to realize the visual analysis and display of health medical data according to the design of specific modules, mainly the number of patients admitted to the hospital in 24H, age height and weight information, regional disease information, referral department information and medical examination information and other aspects. The update rules for the network parameters

MEDICAL BIG DATA TECHNOLOGY

Findings

CONCLUSION