PREDICTION OF DENGUE DISEASE THROUGH DATA MINING BY USING MODIFIED APRIORI ALGORITHM

被引：2
|
作者：
Jahangir, Iqra [1 ]
Abdul-Basit [1 ]
Hannan, Abdul [1 ]
Javed, Sameen [1 ]
机构：
[1] Abasyn Univ, Dept Comp & Technol, Islamabad Campus, Islamabad, Pakistan
来源：
PROCEEDINGS OF THE 4TH ACM INTERNATIONAL CONFERENCE OF COMPUTING FOR ENGINEERING AND SCIENCES (ICCES'2018) | 2018年
关键词：
Data mining; Apriori; Weka; Dengue fever; Classification;
D O I：
10.1145/3213187.3287612
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Dengue is a threatening ailment and it is caused by the bite of a female mosquito. Pakistan has been a victim of this disease from a couple of years. Life of many people is endangered from it. People were facing a problem for the detection of this disease because of the limited resources of time and money. Lives of the people can be saved if the dengue is predicted in early stages. The present research will present a dengue prediction methodology by using the data mining technique. Association rule mining is used in this paper for the prediction of this disease. First, the data was collected which includes patients having dengue or not, then it was used in Weka data mining tool by applying Apriori algorithm. The rules derived from this algorithm were further used for generating a proposed rule which is used for the prediction of dengue in patients. Generated rule was able to identify 75% of records correctly.
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页数：4
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