Extracting Significant Patterns for Oral Cancer Detection Using Apriori Algorithm

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Intelligent Information Management

ISSN Print: 2160-5912
ISSN Online: 2160-5920
www.scirp.org/journal/iim
E-mail: iim@scirp.org

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"Extracting Significant Patterns for Oral Cancer Detection Using Apriori Algorithm"
written by Neha Sharma, Hari Om,
published by Intelligent Information Management, Vol.6 No.2, 2014

has been cited by the following article(s):

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[2]	A Design of Smart Device for Detection of Oral Cancer using IoT
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[5]	A survey on cancer prediction and detection with data analysis
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[6]	Fluvoxamine treatment response prediction in obsessive-compulsive disorder: association rule mining approach
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[7]	Enhanced Computational Model for Gravitational Search Optimized Echo State Neural Networks Based Oral Cancer Detection
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[8]	Exploring Cancer Risk Factors using Data Mining Techniques: A Case Study from Yemen
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[9]	Dynamic FP Tree Based Rare Pattern Mining Using Multiple Item Supports Constraints
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[10]	Hybrid framework using data mining techniques for early detection and prevention of oral cancer
	International Journal of Advanced Intelligence Paradigms, 2017

[11]	TO DETECT AND CLASSIFY ORAL CANCER IN MRI IMAGE USING FIREFLY ALGORITHM AND EXPECTATION MAXIMIZATION ALGORITHM
	International Journal of Pure and Applied Mathematics, 2017

[12]	استفاده از قوانين انجمنی جهت کشف عوامل خطر در بروز سرطان معده‎
	مجله انفورماتیک سلامت و زیست پزشکی, 2015

[13]	Uncovering Hospitalists' Information Needs from Outside Healthcare Facilities in the Context of Health Information Exchange Using Association Rule Learning
	2015

[14]	Using Association Rules for the Detection of Risk Factors in Gastric Cancer
	2015

[15]	Review on emerging techniques to detect oral cancer
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[16]	استفاده از قوانین انجمنی جهت کشف عوامل خطر در بروز سرطان معده‎
	2015

[17]	An Effective Oral Cancer Diagnosis System Using Weighted Mahalanobis Distance based Multiclass SVM.
	International Journal of Applied Engineering Research, 2014

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