Medical Data Mining Using Different Classification and Clustering Techniques: A Critical Survey

被引：8

作者：

Sharma, Richa ^{[1
]}

Singh, Shailendra Narayan ^{[1
]}

Khatri, Sujata ^{[2
]}

机构：

[1] Amity Univ, ASET, Noida, Uttar Pradesh, India

[2] Univ Delhi, Deen Dayal Upadhyay Coll, Delhi 110007, India

来源：

2016 SECOND INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE & COMMUNICATION TECHNOLOGY (CICT) | 2016年

关键词：

Data Mining; Classification; Clustering; Heart Disease Diagnosis; Cancer Diagnosis; Data Mining Tools;

D O I：

10.1109/CICT.2016.142

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of the applications of data mining is disease diagnosis for this purpose one needs medical dataset to identify hidden patterns and finally extracts useful knowledge from medical database. Recently, researchers have used different classification and clustering algorithms for diagnosing diseases. This paper provides survey on two different complex diseases which includes the heart disease and Cancer disease, paper critically observed the existing literature work to find out significant knowledge in this area and summarized different approaches used in disease diagnosing, further discussed about the tools available for processing and classification of data.

引用

页码：687 / 691

页数：5

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