Classification of Diabetic Patients Records Using Naive Bayes Classifier

被引：0

作者：

Thulasi, K. S. ^{[1
]}

Ninu, E. S. ^{[1
]}

Kumar, Shiva K. M. ^{[1
]}

机构：

[1] Amrita Univ, Amrita Sch Arts & Sci, Amrita Vishwa Vidyapeetham, Dept Comp Sci, Mysuru Campus, Mysore, Karnataka, India

来源：

2017 2ND IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT) | 2017年

关键词：

naive Bayes classifier; machine learning; classification; feature selection; regression analysis;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Classifying the diabetic patients records based on archieved data is one of the computational diagnosis method. In this paper we present the classification of diabetic patient records using pima Indian diabetes dataset available publically. We train the system using naive Bayes classifier to classify patients into positive and negative classes. We present the difference in classification in accuracy with and without using the feature selection method.

引用

页码：1194 / 1198

页数：5

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