Using decision tree and response surface methodology to review chronic periodontitis profile in Pakistan: A preliminary case study

Wan Ahmad, Wan Muhamad Amir and Um Min Allah, Nasar and Mohd Ibrahim, Mohamad Shafiq and Mamat, Mustafa and Aleng, Nor Azlida and Husein, Adam and Awang Nawi, Mohamad Arif and Yaqoob, Muhammad Azeem (2018) Using decision tree and response surface methodology to review chronic periodontitis profile in Pakistan: A preliminary case study. International Journal of Engineering and Technology, 7 (3.28 Special Issue 28). pp. 76-79. ISSN 2227-524X

PDF - Published Version Restricted to Registered users only Download (530kB) | Request a copy

Abstract

Chronic periodontitis is among the most prevalent oral diseases in the world. Apart from its destructive outcomes in the oral cavity, there is a strong evidence of the potential association between chronic periodontitis and systemic diseases such as cardiovascular disease, diabetes, and preterm low birth weight. In this paper, the potential contributing factors which lead to chronic periodontist will be determined among the patients attending Islamabad Dental Hospital by response surface methodology (RSM) and decision tree (DT) analysis. The results of this study show that the prevalence of severe chronic periodontitis is high in patients who have not brushed their teeth (23.5%) and for the case without the severity of chronic periodontitis (61.1%). Whereas, from the RSM analysis, it is shown that there is an association between chronic periodontitis, diabetic status, and frequency of smoking. However, using DT analysis, age and frequency of brushing were the best predictors of severe chronic periodontitis. This present study concludes that by using RSM and DT analysis can predict a better forecasting result in future for the decision making among the decision maker

Item Type:	Article (Journal)
Additional Information:	8915/72151
Uncontrolled Keywords:	Chronic Periodontitis; Response Surface Methodology; Decision Tree.
Subjects:	Q Science > QA Mathematics > QA276 Mathematical Statistics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Dentistry Kulliyyah of Dentistry > Department of Paediatric Dentistry and Dental Public Health
Depositing User:	Dr Mohamad Shafiq Mohd Ibrahim
Date Deposited:	15 May 2019 08:42
Last Modified:	15 May 2019 08:42
URI:	http://irep.iium.edu.my/id/eprint/72151

Actions (login required)

View Item