NDLI: The automatic diagnosis system of breast cancer based on the improved Apriori algorithm

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The automatic diagnosis system of breast cancer based on the improved Apriori algorithm

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Proceedings. International Conference on Machine Learning and Cybernetics

The automatic diagnosis system of breast cancer based on the improved Apriori algorithm

Content Provider	IEEE Xplore Digital Library
Author	Wen-Jing Zhang Dong-Lai Ma Bin Dong
Copyright Year	2012
Description	Author affiliation: Computer Center, Hebei University Affiliated Hospital, Baoding 071000, China (Bin Dong) \|\| Hebei Software Institute, Baoding 071003, China (Dong-Lai Ma)
Abstract	This paper introduces computer-aided diagnosis, association rules and its application in the medical field, and proposes an improved Apriori algorithm combined with the characteristics of breast cancer data. By the mining decision rules, doctors can greatly improve their diagnostic efficiency and accuracy for breast cancer. Using the mining decision rules, we can also establish medical knowledge database, and provide useful data resource for the future medical research.
Starting Page	63
Ending Page	66
File Size	995189
Page Count	4
File Format	PDF
ISBN	9781467314848
ISSN	2160133X
e-ISBN	9781467314879
DOI	10.1109/ICMLC.2012.6358887
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Medical diagnostic imaging Abstracts Breast cancer Economic indicators Argon Association Computer-aided diagnosis
Content Type	Text
Resource Type	Article

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