Importance of Data Mining in Healthcare: A Survey

被引:19
|
作者
Tekieh, Mohammad Hossein [1 ]
Raahemi, Bijan [1 ]
机构
[1] Univ Ottawa, Telfer Sch Management, Ottawa, ON, Canada
关键词
data mining; health data analysis; data quality; predictive modelling; health big data; data mining applications; PREDICTION; DISCOVERY; KNOWLEDGE; CANCER;
D O I
10.1145/2808797.2809367
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this survey, we collect the related information that demonstrate the importance of data mining in healthcare. As the amount of collected health data is increasing significantly every day, it is believed that a strong analysis tool that is capable of handling and analyzing large health data is essential. Analyzing the health datasets gathered by electronic health record (EHR) systems, insurance claims, health surveys, and other sources, using data mining techniques is very complex and is faced with very specific challenges, including data quality and privacy issues. However, the applications of data mining in healthcare, advantages of data mining techniques over traditional methods, special characteristics of health data, and new health condition mysteries have made data mining very necessary for health data analysis.
引用
收藏
页码:1057 / 1062
页数:6
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