Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/1358
Title: An Overview of the Algorithmic Diagnostics Methodology: A Big Data Approach
Authors: Kupusinac, Aleksandar 
Doroslovački, Rade 
Issue Date: 27-Aug-2018
Journal: 2018 Zooming Innovation in Consumer Technologies Conference, ZINC 2018
Abstract: © 2018 IEEE. Modern medical diagnosis requires the development of algorithms for processing large amounts of data (big data analytics), with numerous complex and unconventional cases, where the analysis with clasical statistical methods is usually inapplicable. Methods of machine learning are good solution, since they can discover complicated relationships from given dataset and than use this knowledge for new data. This paper considers methodology of algorithmic diagnosis based on artificial neural networks.
URI: https://open.uns.ac.rs/handle/123456789/1358
ISBN: 9781538649275
DOI: 10.1109/ZINC.2018.8448548
Appears in Collections:FTN Publikacije/Publications

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