Analysis of Periodontitis using R in Big Data

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-38 Number-1
Year of Publication : 2016
Authors : K.G. Rani Roopha Devi, Dr. M. Karthika
  10.14445/22312803/IJCTT-V38P110

MLA

K.G. Rani Roopha Devi, Dr. M. Karthika "Analysis of Periodontitis using R in Big Data". International Journal of Computer Trends and Technology (IJCTT) V38(1):51-56, August 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
In ourpaper we integrate big data in Peridontal infection using R programming to help in the prediction of future gum infection, and this way we can help the medical sector to make a safe decision and help prevent the infection. Big data is an emerging technology which provides huge collection of statistical data. It is by far the most specialized and latest technology and can be used in dentistry to prevent the disease occurrence in advance before it arises and help create treatment strategies for future prevention of the disease.This will help in making decisions by examining or analysing the whole disorder and plan the treatment to prevent its occurrence in future. This method could be tested with the huge collection of ancient statistics of dental diseases to check the effectiveness of the technique and based on the generated end result; precision of prediction can be executed in future. This study is aimed to review the trend and the progress of R programming to cope with big data challenges in periodontal disease.

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Keywords
R, Big data, Gum infection, Dentistry, Periodontitis, Oral health, Periodontal infection.