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Intelligent Techniques for Analysis of Big Data About Healthcare and Medical Records

Intelligent Techniques for Analysis of Big Data About Healthcare and Medical Records
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Author(s): Pinar Kirci (Istanbul University, Turkey)
Copyright: 2022
Pages: 24
Source title: Research Anthology on Big Data Analytics, Architectures, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3662-2.ch021

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Abstract

To define huge datasets, the term of big data is used. The considered ā€œ4 Vā€ datasets imply volume, variety, velocity and value for many areas especially in medical images, electronic medical records (EMR) and biometrics data. To process and manage such datasets at storage, analysis and visualization states are challenging processes. Recent improvements in communication and transmission technologies provide efficient solutions. Big data solutions should be multithreaded and data access approaches should be tailored to big amounts of semi-structured/unstructured data. Software programming frameworks with a distributed file system (DFS) that owns more units compared with the disk blocks in an operating system to multithread computing task are utilized to cope with these difficulties. Huge datasets in data storage and analysis of healthcare industry need new solutions because old fashioned and traditional analytic tools become useless.

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