Online service for brain cancer detection and its types prediction using support vector machine with enhanced naive Bayes classifier

被引：7

作者：

Kavitha, A. R. ^{[1
]}

Chellamuthu, C. ^{[2
]}

机构：

[1] Anna Univ, Jerusalem Coll Engn, Dept Informat Technol, Madras 600100, Tamil Nadu, India

[2] Anna Univ, EEE Dept, RMK Engn Coll, Madras 600025, Tamil Nadu, India

来源：

INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY | 2015年 / 17卷 / 01期

关键词：

brain cancer; naive Bayes classifier; XML; internet; web service; brain cancer type prediction;

D O I：

10.1504/IJBET.2015.066968

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper proposes an efficient online service for brain cancer prediction and its type prediction r based on SVM with Enhanced Naive Bayes Classifier (SVMENBC) algorithm. The patient's data set acquired are compiled using the MySql software. A set of questionnaire and precondition patterns are designed using the Eclipse Indigo with MS SQL software, and are maintained in the database. The designed questionnaire is given to the users through the web browser and their response is considered the input pattern. The pattern matching technique matches the input pattern and the precondition patterns. The SVM classifies the data set into brain cancer or cancerous data. Finally, the type of the brain cancer is identified from the brain tumour data set using enhanced naive Bayes classifier. The performance of the proposed SVMENBC is validated both quantitatively and qualitatively using the performance metrics such as sensitivity, specificity and accuracy.

引用

页码：55 / 71

页数：17

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