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

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

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 re...

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Main Authors: Wan Ahmad, Wan Muhamad Amir, Mohd Ibrahim, Mohamad Shafiq, Rohim, Rabiatul Adawiyah, Ali, Zalila
Format: Article
Language:English
Published: Institute of Advanced Science Extension (IASE) 2018
Subjects:
QA276 Mathematical Statistics
Online Access:http://irep.iium.edu.my/72208/
http://irep.iium.edu.my/72208/
http://irep.iium.edu.my/72208/1/predicting%20the%20predictor%20variable.pdf
id iium-72208
recordtype eprints
spelling iium-722082019-05-16T06:01:51Z http://irep.iium.edu.my/72208/ Predicting the predictor's variables of survival time for oral cancer with decision tree analysis Wan Ahmad, Wan Muhamad Amir Mohd Ibrahim, Mohamad Shafiq Rohim, Rabiatul Adawiyah Ali, Zalila QA276 Mathematical Statistics 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. Institute of Advanced Science Extension (IASE) 2018-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/72208/1/predicting%20the%20predictor%20variable.pdf 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 http://science-gate.com/IJAAS/Articles/2018/2018-5-11/13%202018-5-11-pp.91-94.pdf
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic QA276 Mathematical Statistics
spellingShingle QA276 Mathematical Statistics
Wan Ahmad, Wan Muhamad Amir
Mohd Ibrahim, Mohamad Shafiq
Rohim, Rabiatul Adawiyah
Ali, Zalila
Predicting the predictor's variables of survival time for oral cancer with decision tree analysis
description 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.
format Article
author Wan Ahmad, Wan Muhamad Amir
Mohd Ibrahim, Mohamad Shafiq
Rohim, Rabiatul Adawiyah
Ali, Zalila
author_facet Wan Ahmad, Wan Muhamad Amir
Mohd Ibrahim, Mohamad Shafiq
Rohim, Rabiatul Adawiyah
Ali, Zalila
author_sort Wan Ahmad, Wan Muhamad Amir
title Predicting the predictor's variables of survival time for oral cancer with decision tree analysis
title_short Predicting the predictor's variables of survival time for oral cancer with decision tree analysis
title_full Predicting the predictor's variables of survival time for oral cancer with decision tree analysis
title_fullStr Predicting the predictor's variables of survival time for oral cancer with decision tree analysis
title_full_unstemmed Predicting the predictor's variables of survival time for oral cancer with decision tree analysis
title_sort predicting the predictor's variables of survival time for oral cancer with decision tree analysis
publisher Institute of Advanced Science Extension (IASE)
publishDate 2018
url http://irep.iium.edu.my/72208/
http://irep.iium.edu.my/72208/
http://irep.iium.edu.my/72208/1/predicting%20the%20predictor%20variable.pdf
first_indexed 2023-09-18T21:42:22Z
last_indexed 2023-09-18T21:42:22Z
_version_ 1777413224911601664

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