Application of Data Mining Techniques for Prediction of Diabetes - A Review

Authors

  • Santosh Rani  M.Tech Scholar, Department of computer Science and Engineering , Guru Kashi University, Talwandi, Bathinda, Punjab, India
  • Dr. Sandeep Kautish  Professor, Department of computer Science and Engineering , Guru Kashi University, Talwandi, Bathinda, Punjab, India

Keywords:

Keywords- Prediction, Association, Classification, Data mining, Regression.

Abstract

During past years, the increase in use of internet and scientific information, enormous amount of data produced every minute and this caused growth in lots of repositories and databases. Health care industry also contains a wealth of database. Millions of patients’ database stored in repositories every year. The health care industry ironic in information but knowledge is meager because, with valuable information unsolicited information is also stored and sometimes the valuable information is not analyzed. This unimportant information increases the difficulties of doctors for disease prediction. To solve the problem of this medical mismanagement in health care industry, various machine learning and data mining techniques are used. “Data mining is a process to analyzing the data from large databases. As it is also clear from its name Data Mining searching for valuable information in a large database”. Data mining is also known as knowledge discovery. This paper reviews the application and techniques of data mining to determined how these application and techniques have established, during the past years. The main attention is to explore data mining techniques which are widely used to predict some chronic disease like diabetes and cancer, heart attack and for this various most sited research papers of highest journals are reviewed. The techniques of data mining namely, neural networks, association, classification, regression are analyzed in this review paper.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

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How to Cite

[1]
Santosh Rani, Dr. Sandeep Kautish, " Application of Data Mining Techniques for Prediction of Diabetes - A Review , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1996-2004, March-April-2018.