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  1. University of Computer Studies, Yangon
  2. Conferences

Big Data Analytics for Healthcare Services Using C4.5 Algorithm on Map Reduce

http://hdl.handle.net/20.500.12678/0000003358
http://hdl.handle.net/20.500.12678/0000003358
66e39f3c-7986-4ad0-9ea7-898dc1c65e88
719ae4c7-b1e6-4d70-b496-cc631ae7a220
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ICCA ICCA 2019 Proceedings Book-pages-13-18.pdf (719 Kb)
Publication type
Article
Upload type
Publication
Title
Title Big Data Analytics for Healthcare Services Using C4.5 Algorithm on Map Reduce
Language en
Publication date 2019-02-27
Authors
Mung, Pau Suan
Phyu, Sabai
Description
Healthcare industry is an ever-increasing risein the large amount of records such as doctors,patients, medicines and medical history. Althoughprevious medical records are beneficial for not onlyindividual but also human society, maintaining andanalyzing large amount of such data is a bigproblem. Traditional data mining tools areinadequate for such amount of data. Big dataanalysis can be used in various applications withdifferent domains like education, security and healthcare. This system uses MapReduce based C4.5Decision Tree algorithm for health care big data tomanage, analyze and extract the most suitable datafor right conditions. The classification rulesproduced by this system can be used to classify theparticular disease. Tuberculosis disease is used as acase study in the system.
Keywords
Big data, Healthcare data, Machine Learning, Classification
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1117
Journal articles
Seventeenth International Conference on Computer Applications(ICCA 2019)
Conference papers
Books/reports/chapters
Thesis/dissertations
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