Earticle

초록

영어

Data Mining is one of the most motivating area of research that is become increasingly popular in health organization. Data Mining plays an important role for uncovering new trends in healthcare organization which in turn helpful for all the parties associated with this field. This survey explores the utility of various Data Mining techniques such as classification, clustering, association, regression in health domain. In this paper, we present a brief introduction of these techniques and their advantages and disadvantages. This survey also highlights applications, challenges and future issues of Data Mining in healthcare. Recommendation regarding the suitable choice of available Data Mining technique is also discussed in this paper.

목차

Abstract
 1. Introduction
 2. Data Mining
  2.1. Classification
  2.2. Regression
  2.3. Clustering
  2.4. Association
 3. Application of Data Mining in Health
 4. Data Mining Challenges in Healthcare
 5. Conclusion and Future Issues
 References

키워드

저자

• Divya Tomar [ Indian Institute of Information Technology, Allahabad, India ]
• Sonali Agarwal [ Indian Institute of Information Technology, Allahabad, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605