Data mining Applications in Healthcare Domain

  Dr. Satish Chandra Pandey

Data mining is the progression of dig out valuable information from huge data sets over the use of statistics, algorithms, machine learning & Database Management System. The huge amounts of data produced by healthcare organizations are too complex and capacious to be processed and analyzed by outmoded methods. It provides the approach and knowledge to transform these mounds of data into valuable statistics for decision making. In the present research paper decision tree data mining technique has been applied in healthcare domain to identify the risk factors associated with the onset of diabetes. It has been found that out of the five attributes (Age ,Gender, Body Masss Index,Excersie per week, Waist Hip Ratio)Age is the most effective and gender is the learnt effective attribute on the onset of diabetics. It is also concluded that as the age of the person increases the probability of getting affected by diabetics also increases. The paper also highlights the limitations of data mining and discusses some future directions.

Keywords- Attributes, Body Mass Index, Waist Hip Ratio, Classification, Decision Trees

Unique Identification Number - IJEDR2004053
Page Number(s) - 352-355
Pubished in - Volume 8 | Issue 4 | December 2020
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Dr. Satish Chandra Pandey,   "Data mining Applications in Healthcare Domain", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 4, pp.352-355, December 2020, Available at :http://www.ijedr.org/papers/IJEDR2004053.pdf