Support Vector Machines and Naive Bayes Classifier for Classifying a Prostate Cancer

被引：2

作者：

Rustam, Zuherman ^{[1
]}

Darmawan, Nurlia Angie ^{[1
]}

Hartini, Sri ^{[1
]}

Aurelia, Jane Eva ^{[1
]}

机构：

[1] Univ Indonesia, Dept Math, Depok 16424, Indonesia

来源：

ADVANCED INTELLIGENT SYSTEMS FOR SUSTAINABLE DEVELOPMENT (AI2SD'2020), VOL 1 | 2022年 / 1417卷

关键词：

Machine learning; Naive bayes classifier; Prostate cancer; Support vector machines; SINUSITIS;

D O I：

10.1007/978-3-030-90633-7_72

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Prostate Cancer is one of the common types of cancer experienced by men. According to various medical studies, there is a current global increase in the number of men diagnosed with this disease. Therefore, machine learning technology is needed to assist the medical industry in solving this problem. This research, therefore, aims to compare the working accuracy of the Support Vector Machines and Naive Bayes Classifier. Data were obtained from the dataset of CT scans from Cipto Mangunkusumo Hospital, Indonesia, for its evaluation. The result showed that Support Vector Machines has a better performance than the Naive Bayes Classifier with an accuracy performance of 83.33% and data training of 90%.

引用

页码：854 / 860

页数：7

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