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Integrated Retrieval System Based on Medical Big Data

Published: 25 May 2020 Publication History

Abstract

This paper presented an integrated retrieval system based on medical big data, aiming at the characteristics of medical data, such as diversity, large quantity and complex structure. The data center is built with data extraction module and data storage module in the system. The index module is built based on Solr and the data is presented in a webpage. The system keeps proper loose coupling among modules with high availability and extension. In a hospital application environment, this system realizes the function of real-time retrieval, and provides effective support for clinical decision.

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  1. Integrated Retrieval System Based on Medical Big Data

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    ICVISP 2019: Proceedings of the 3rd International Conference on Vision, Image and Signal Processing
    August 2019
    584 pages
    ISBN:9781450376259
    DOI:10.1145/3387168
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 25 May 2020

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    Author Tags

    1. Data storage
    2. Medical Big Data
    3. Solr

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    ICVISP 2019

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    ICVISP 2019 Paper Acceptance Rate 126 of 277 submissions, 45%;
    Overall Acceptance Rate 186 of 424 submissions, 44%

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