Prediction of Diabetes Rate Using Data Mining

被引：1
|
作者：
Das, Prasenjit [1 ,2 ]
Jain, Shaily [1 ,3 ]
Shambhu, Shankar [1 ,2 ]
Sharma, Chetan [1 ]
Ahuja, Sachin [1 ,3 ]
机构：
[1] Chitkara Univ, Haryana, Himachal Prades, India
[2] Chitkara Univ, Sch Comp Applicat, Haryana, Himachal Prades, India
[3] Chitkara Univ, Inst Engn & Technol, Haryana, Himachal Prades, India
来源：
2021 INTERNATIONAL CONFERENCE ON DECISION AID SCIENCES AND APPLICATION (DASA) | 2021年
关键词：
Machine learning; Diabetes; Classification; Supervised Learning; Data Mining;
D O I：
10.1109/DASA53625.2021.9682362
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Diabetes is one of the significant diseases directly or indirectly responsible for fatalities across the world. Data mining techniques are used in the health care sector to diagnose and early detection of ailments. The factors which contribute to diabetes are considered in the present work. We are investigating the features which are contributing towards individuals getting affected by diabetes. The independence or dependence of existing features in any individual has been investigated. The supervised learning algorithm shows an accuracy of 94.65%.
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收藏
页数：3
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