Analysis of Periodontitis using R in Big Data
 |
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 | ||
| DOI : 10.14445/22312803/IJCTT-V38P110 |
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.
References
[1] FortunatoBianconi, Valerio Brunori, Paolo Valigi, Francesco La Rosa, and FabrizioStracci, IEEE Transactions On Systems, Man, And Cybernetics—Part A: Systems And Humans, Vol. 42, No. 6, November 2012.
[2] Elena Gaura, John Kemp, and James Brusey,Leveraging Knowledge From Physiological Data: On-Body Heat Stress Risk Prediction With Sensor Networks, IEEE Transactions On Biomedical Circuits And Systems, Vol. 7, No. 6, December 2013
[3] Bum Ju Lee, Boncho Ku, Prediction of Fasting Plasma Glucose Status Using Anthropometric Measures for DiagnosingType 2 Diabetes, IEEE Journal Of Biomedical And Health Informatics, Vol. 18, No. 2, March 2014.
[4] Corbet EF. Radiographs in periodontal disease diagnosis and management. Aust Dent J 2009;54(1 Suppl):S27–S43.
[5] Caton J. Periodontal diagnosis and diagnostic aids. American Academy of Periodontology. Proceedings of the World Workshop in Clinical Periodontics. Chicago: American Academy of Periodontology, 1989:1 ? 5–1 ? 22.
[6] Guoping Wang and CheeYong Chan, MultiQuery Optimization in MapReduce Framework.
[7] R Development core Team (2011a). An Introduction to R. Vienna, Austria. ISBN 3-900051-12-7, URL http://www.R-project.org/.
[8] Locher R, Ruckstuhl A, et al. (2011). IDPmisc:Utilities of Institute of Data Analyses and Process Design. R package Version 1.1.16, URL http://CRAN.R-project.org/package=IDPmisc.
[9] Development Core Team(2011b). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/.
Keywords
R, Big data, Gum infection, Dentistry, Periodontitis, Oral health, Periodontal infection.