Medical Disease Classification in Data Mining

Medical Disease Classification in Data Mining

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-43 Number-3
Year of Publication : 2017
Authors : Asha Baby, Shalu Krishna G, Veena S Babu
DOI :  10.14445/22315381/IJETT-V43P226

Citation 

Asha Baby, Shalu Krishna G, Veena S Babu "Medical Disease Classification in Data Mining", International Journal of Engineering Trends and Technology (IJETT), V43(3),151-157 January 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Health care domain is flooded with huge amount of data that holds sensitive information pertaining topatients and their medical conditions. Medical data minin can help obtain latent patterns or actionable knowledge. Dat mining techniques can discover such latent patterns or hiddenrelationships among the objects in the medical data sources.This will give know how to ascertain the progression of disease over a period of time. As medical data sources contain set o observations that are made from time to time with clinical parameters, considering temporal dimension of the data a fundamental parameter can give valuable insights related t temporal nature of diseases.

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Keywords
data resource management data and transformed data. Health care organizations must have ability to analyzed data.