A Study on Using Python']Python vs Weka on Dialysis Data Analysis

被引：0

作者：

Mitrpanont, Jarernsri ^{[1
]}

Sawangphol, Wudhichart ^{[1
]}

Vithantirawat, Thanita ^{[1
]}

Paengkaew, Sinattaya ^{[1
]}

Suwannasing, Prameyuda ^{[1
]}

Daramas, Atthapan ^{[1
]}

Chen, Yi-Cheng ^{[2
]}

机构：

[1] Mahidol Univ, Fac Informat & Commun Technol, Nakhon Pathom, Thailand

[2] Natl Cent Univ, Taipei, Taiwan

来源：

2017 2ND INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY (INCIT) | 2017年

关键词：

Health; Machine learning; Data Analytics; !text type='Python']Python[!/text; Weka; Dialysis; CLASSIFICATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Health data has been drastically increasing in capacity and variety. Due to large and complex collection of datasets, it is difficult to process data using traditional data processing techniques. Machine Learning techniques, such as KNN and Naive Bayes, have been used. Python and Weka are tools that are widely used in the field of data analytics. Therefore, this paper gives the comprehensive comparison between both tools together with some machine learning algorithms on data analytic of Dialysis Dataset. The results show that using Python provides the better performance in term of correct/incorrect instances, precision, and recall.

引用

页码：123 / 128

页数：6

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