Research based on big data analysis of medical industry

2019 International Conference on Advanced Electronic Materials, Computers and Materials Engineering

无线电电子学;计算机科学;材料科学

Chen, Lijun^1 ; Lin, Jiaying^1 ; Yi, Zhang^1

South China Institute of Software Engineering, Guang Zhou Universitity, Guangzhou, China^1

关键词: Clinical decision support systems;    Conceptual architecture;    Data analysis tool;    Electronic health record;    Healthcare sectors;    Heterogeneous data;    Medical industries;    Semi structured data;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/563/3/032012/pdf
DOI  :  10.1088/1757-899X/563/3/032012

来源: IOP

【 摘 要 】

In recent decades, institutions in every country and every place have produced a large amount of structured, unstructured and semi-structured data with different (heterogeneous) structures. The healthcare sector faces the need to manage big data from a variety of sources known for generating large amounts of heterogeneous data. In the medical and health industry, various big data analysis tools and technologies have been developed to deal with these massive data. In this article, we will discuss the impact of big data on healthcare and health, as well as the various big data processing tools available in the Hadoop system. We also explored the conceptual architecture of medical big data analysis, including data collection histories from different branches, genomic databases, electronic health records, text/image, and clinical decision support systems.