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Predicting the predictor's variables of survival time for oral cancer with decision tree analysis

Wan Ahmad, Wan Muhamad Amir and Mohd Ibrahim, Mohamad Shafiq and Rohim, Rabiatul Adawiyah and Ali, Zalila (2018) Predicting the predictor's variables of survival time for oral cancer with decision tree analysis. International Journal of Advanced and Applied Sciences, 5 (11). pp. 91-94. ISSN 2313-626X E-ISSN 2313-3724

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Decision tree analysis is one of the famous analyses which assist the researcher to identify the associated factor that contributes to the certainty factor. In this study, we proposed a decision tree model with the high-risk factor and try to estimates the importance of every each predictor. The result reveals that the survival time for the patient is mostly depending on nerve invasion and the size of a tumor, followed by alcohol and ethnicity factor. This promising technique had led to a successful research and give the best results for the decision making especially for the decision maker. In conclusion, this analysis can provide a very useful for forecasting the survival time (in months) of oral cancer patients.

Item Type: Article (Journal)
Additional Information: 8915/72208
Uncontrolled Keywords: Oral cancer, Decision tree, Analysis weight
Subjects: Q Science > QA Mathematics > QA276 Mathematical Statistics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Dentistry > Department of Paediatric Dentistry and Dental Public Health
Depositing User: Dr Mohamad Shafiq Mohd Ibrahim
Date Deposited: 16 May 2019 14:01
Last Modified: 16 May 2019 14:01
URI: http://irep.iium.edu.my/id/eprint/72208

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